The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.

We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.

What You’ll Do

• Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.

• Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.

• Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.

• Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.

• Work across the engineering organization and with internal and external partners.

• Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.

• Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.

• Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.

• In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.

• Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

What We Look For

• Solid leadership and interpersonal skills.

• 10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs. 

• Proven track record in stakeholder management, ownership, and successful delivery. 

• Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks. 

• Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg. 

• Capable of mentorship, cross-functional project execution, and individual contribution. 

• Strong interpersonal, written, and verbal communication skills with a growth mindset. 

• Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.

• Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.

Pay Grade - R
Equity Grade - 9

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $206,000 - $256,000

This posting is for an existing vacancy

#LI-Remote

This is Engineering at Lattice

Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.

As a Data Platform Engineer, you will play a pivotal role in designing and maturing Lattice’s centralized data platform — starting with a modern data lakehouse built on AWS. This is an opportunity to be a founding member of a new team, build the backbone of our data ecosystem, and directly influence the intelligence and interconnectedness of our products.

You will architect and implement foundational data infrastructure that enables scalable storage, reliable data processing, and secure access across the organization. In addition to building the lakehouse itself, you will design and maintain a set of reusable connection and query utilities that empower internal stakeholders to interact with the platform efficiently and safely.

What You Will Do

• Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
• Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
• Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
• Shape data governance practices ensuring access to data is secure, compliant, and high-quality. 
• Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.

What You Will Bring to the Table

• 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project.
• Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
• Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
• Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
• Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
• Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

#LI-Remote

We're looking for a senior digital marketer who lives in the data — someone who can forecast paid media performance, read what the numbers are actually saying, and turn that into the right next move across paid media and granum.com. 

You'll own the digital surface area for three brands (LMN, Greenius, and SingleOps). The work is meaningful, the budgets are real, and the impact is measurable. We need someone who's hands-on with the platforms, fluent with the reporting, and proactive enough to spot what's drifting before anyone else does.

This is a senior IC role on a fast-moving demand gen team. If you're the kind of digital marketer who builds their own forecast models, knows their ad platforms intuitively, and gets restless when they don't understand a trend in the data — keep reading.

Who you'll work with

You'll report to the Sr. Director of Demand Generation and partner closely with:

• Demand Gen Managers (DGMs) running new-logo and customer campaigns across LMN, Greenius, and SingleOps
• Content Marketing Manager on the joint SEO/AEO program — they own content, you own technical
• Marketing Operations (MOPS) on attribution, tracking, and Salesforce-side configuration
• AI Enablement as we build out tooling that supports digital execution
• Product Marketing on messaging and positioning designed to convert
• External partners who give you the leverage to operate at this scope
  
  

What you'll own

Paid media strategy and execution

You bring the digital expertise; DGMs approve against pipeline targets.

• Channel mix, budget allocation, and creative direction in close partnership with our DGMs
• Hands-on execution across Google, Meta, Bing, and LinkedIn
• Weekly forecasting against CAC and demos-booked targets per product
• Performance analysis, variance investigation, and channel-mix recommendations
• Lean on native AI in the ad platforms rather than rebuilding what they already do well — your value is the cross-brand, cross-channel calls those platforms can't make alone

Reporting and forecasting

This is the heartbeat of the role. You're the one analyzing, interpreting, and translating the data for our organization.

• Build and maintain the forecasting models that drive paid media planning
• Weekly and monthly reporting on paid media, AEO/SEO, CRO, and website performance
• Variance analysis when actuals drift from forecast — you don't just flag it, you diagnose it
• Partner with MOPS on attribution and pipeline reporting; flag data quality issues when you see them
• Translate performance data into clear recommendations for DGMs and marketing leadership

SEO/AEO partnership and website performance

You own the technical foundation; Content Marketing owns the editorial side.

• Technical SEO and AEO end-to-end: Core Web Vitals, schema, redirects, site architecture
• Website page templates, UX, conversion paths, and platform decisions
• Joint program with Content Marketing — they own keyword strategy and topical authority; you own the technical foundation that lets it pay off
• The judgment call on whether something is a content problem or a technical one

CRO program

• Run our CRO experiment program, facilitating controlled tests that help us learn, optimize, and move the needle on website and landing pages
• Design experiments, set hypotheses with input from DGMs, and call the winners
• Build the test backlog from your own performance reads, not just from requests

Landing page infrastructure

The foundation everyone else depends on — your job to keep it solid.

• LP template library across HubSpot and WordPress
• Routing rule for which platform a given campaign uses
• Self-serve enablement for DGMs running Tier 2/3 campaigns

What you're accountable for

Two numbers, primarily:

• Paid media CAC. Hit CAC targets per product across all three brands. You'll surface variance, diagnose it, and make the calls on shifts.
• Self-serve enablement health. The LP template library is current, both platforms are covered, and DGMs can ship Tier 2/3 LPs without queuing on you. If self-serve breaks, you're the bottleneck.

Secondary: technical AEO/SEO health (site performance, indexation), CRO test cadence and lift, and paid media demos-booked targets.

What we're looking for

Experience

• 6–8+ years in digital marketing, with senior-level scope across SEO, paid media, website, and CRO in B2B SaaS
• Track record of running paid media programs at meaningful scale, including direct ownership of strategy and budget (not just executing what an agency recommends)
• Strong forecasting and modeling skills — you build the models yourself, you can defend the assumptions, and you can talk about times your forecast was wrong and what you learned
• Fluent with marketing data — GA4, ad platform reporting, attribution, conversion analysis. You can spot a tracking issue, a seasonality artifact, or a channel softening before someone has to point it out.
• Real CRO experience — you've designed experiments, called winners, and can talk about tests that didn't work and why
• Comfortable with technical SEO — you've worked with developers on schema, site speed, and architecture, even if you weren't writing the code yourself

How you operate

This role doesn't work if you wait to be asked. We're hiring someone who:

• Goes deep on the platforms. You build intuition for how Google Ads, Meta, LinkedIn, GA4, HubSpot, and the rest actually behave — not just what the documentation says, but what the patterns look like in your data. 
• Digs into things before anyone tells you to. If CAC ticks up, you're already in the data. If a competitor changes their bidding, you've noticed. If something looks off, you don't wait for a meeting — you investigate, form a view, and bring a recommendation.
• Treats forecasts as a working tool. You build models, watch how actuals diverge, refine the assumptions, and bring the story to the team. Forecasting isn't a quarterly exercise — it's how you stay ahead of what's coming.
• You’re a solid communicator. You proactively help your stakeholders understand performance and what you’re seeing in the channels. 

Comfort with AI

We're investing in agentic AI and native platform AI to support how the demand gen function operates. You don't need to be an expert, but this is a non-negotiable: you have to be genuinely open to the shift, and ideally bring some hands-on experience already.

• You've actively used AI tools in your day-to-day marketing work — even informally — and can talk about what's worked and what hasn't
• You're curious about agentic AI and willing to be a thoughtful partner as we build tooling that supports digital execution
• You're comfortable with the idea that AI will progressively change how the work gets done, and you see that as an opportunity rather than a threat

If you've built a custom GPT or Claude project, prototyped a Zapier or Clay automation, or just have a real point of view on AI's role in marketing — bring it.

How you partner

• Strong, informed POV, with a collaborative approach. You'll work across DGMs, Content Marketing, MOPS, Product Marketing, AI Enablement, and external partners — none of those relationships work if you can't bring expertise without ego.
• Clear communicator. You can write a brief, defend a recommendation with data, and tell a non-digital colleague why their request needs to wait.
• Bias to ship. We move fast. The work is never finished, and the goal is to keep getting better–not let perfect be the enemy of great.

Tools you should know

• Required: GA4, Google Tag Manager, SEMRush (or equivalent), Google Ads, Meta Ads, LinkedIn Ads, HubSpot, WordPress, Salesforce, Search Console
• Strongly preferred: Hands-on experience with one or more AI tools (Claude, ChatGPT with custom workflows, Zapier AI, Clay, etc.); Salesforce; experience working in or with a Snowflake/Omni-style data layer
• Bonus: You've built a forecasting model that drove a real budget decision, or an AI-powered workflow that meaningfully changed how you operated

What we'll give you

• Real ownership. SEO/AEO partnership, CRO, paid media, website, LP infrastructure — this is a senior seat with a wide lane.
• Leadership who treats this as a partnership. We'll share signals, debate priorities, and back your calls.
• A realistic budget. You show the clear ROI, we’ll invest the marketing dollars.
• A team that's investing in better tooling and infrastructure. AI Enablement is building out support for digital execution; you'll have a real voice in shaping it.
• Honesty about where we are. We have work to do on data, reporting, and tooling — that's part of why this role exists.

If this sounds like the role you've been waiting for, we'd love to hear from you!

Compensation:

• Canada-based candidates: CAD 127,000 - 155,000

• US-based candidates: USD 125,000 - 155,000

The Merchant & Partner Lifecycle (M&PL) team is at the forefront of Affirm’s architectural transformation. We are addressing critical architectural risks by consolidating merchant lifecycle orchestration into a newly cohesive domain. 

You will act as a technical leader building out the brand new lifecycle-orchestrator service that’s at the heart of multiple connected systems. Your work will deliver immediate availability improvements through system simplification and isolation, and modernize older parts of the codebase.

What You'll Do
 

• Design & expand the backbone of our platform to scale to hundreds of thousands of merchants from all around the world

• Design and align the scope of work with other teams to deliver cross-team projects

• Partner with Engineering Manager and Team Lead to execute the long-term vision of the team

• Execute technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems

• Utilize agentic development tools like Claude Code to automate parts of the development process

• Improve engineering standards, tooling, and processes throughout the organization

What We Look For
 

• 3+ years of experience as a backend software engineer

• Familiarity with Domain-Driven Design, distributed systems, and how architectural decisions affect performance and maintainability

• Experience with concepts such as data models, API design (http and RPC), state machines, event-driven architecture, and database design

• Excellent communication skills, both written and verbal. Must be proficient in asynchronous communication–written tech specs, ADRs, project plans, etc.

• Experience designing, developing, and launching backend systems (our stack: AWS, gRPC, Snowflake, Kotlin, Python, MySQL, Kubernetes). Java and Kotlin experience are especially helpful.

• Prior experience with monitoring and alerting systems (sentry.io, rollbar, chronosphere, kibana)

• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

The Merchant & Partner Lifecycle (M&PL) team is at the forefront of Affirm’s architectural transformation. We are addressing critical architectural risks by consolidating merchant lifecycle orchestration into a newly cohesive domain. 

You will act as a technical leader building out the brand new lifecycle-orchestrator service that’s at the heart of multiple connected systems. Your work will deliver immediate availability improvements through system simplification and isolation, and modernize older parts of the codebase.

What You'll Do
 

• Design & expand the backbone of our platform to scale to hundreds of thousands of merchants from all around the world

• Design and align the scope of work with other teams to deliver cross-team projects

• Partner with Engineering Manager and Team Lead to execute the long-term vision of the team

• Execute technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems

• Utilize agentic development tools like Claude Code to automate parts of the development process

• Improve engineering standards, tooling, and processes throughout the organization

What We Look For
 

• 3+ years of experience as a backend software engineer

• Familiarity with Domain-Driven Design, distributed systems, and how architectural decisions affect performance and maintainability

• Experience with concepts such as data models, API design (http and RPC), state machines, event-driven architecture, and database design

• Excellent communication skills, both written and verbal. Must be proficient in asynchronous communication–written tech specs, ADRs, project plans, etc.

• Experience designing, developing, and launching backend systems (our stack: AWS, gRPC, Snowflake, Kotlin, Python, MySQL, Kubernetes). Java and Kotlin experience are especially helpful.

• Prior experience with monitoring and alerting systems (sentry.io, rollbar, chronosphere, kibana)

• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Base Pay Grade - L

Equity Grade - 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $160,000 - $210,000
USA base pay range (all other U.S. states) per year: $142,000 - $192,000

 #LI-Remote

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 CAD - $300,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed.  We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners

You must be commutable to our NYC or SF headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do:

As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.

You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.

• Design and implement core data models and pipelines that power analytics, ML, and product experiences
• Implement modern data lake orchestration patterns, including medallion architectures
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
• Define best practices and technical standards that improve data quality, governance, and performance across teams
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
• Shape the long-term technical vision and roadmap for GlossGenius' data platform

What We’re Looking For

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
• Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management
• Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

We’re looking for a high-impact Senior Fullstack Software Engineer with strong frontend expertise to help build and evolve Cardata’s core platform. You’ll play a hands-on role in designing and shipping performant, scalable, and intuitive user experiences, while contributing across the stack where needed. Our roadmap includes exciting challenges across AI, enterprise-scale workflows, and complex integrations that power some of our most strategic customer experiences.

This isn’t a traditional developer role. We’re looking for engineers with strong fundamentals in software development, solid code standards, and design patterns, who are also AI-native builders. You’re comfortable using tools like Cursor or Claude Code to accelerate development, improve code quality, and rethink how software gets built. You’ll help us move fast, ship high-quality features, and continuously raise the bar for engineering excellence.

The Team

The Portal Team at Cardata is responsible for building the foundation of our product, scalable systems, clean user experiences, and flexible architecture that supports rapid iteration.

We operate with a high ownership, high velocity mindset:

• We prioritize shipping real value quickly through small, functional slices
• We collaborate directly with product and SMEs to reduce ambiguity and rework
• We use AI-assisted development workflows to increase speed without sacrificing quality
• We emphasize clean architecture, strong fundamentals, and continuous improvement

What You'll Be Doing

Frontend & Full-stack Development

• Build high-quality, performant workflows and experiences using React and Next.js
• Contribute across the stack, which includes: TypeScript, NestJS, NestJS and PostgreSQL
• Develop scalable UI architecture using component libraries and design systems
• Own features end-to-end, from concept to production

AI-Accelerated Development

• Leverage tools like Cursor or Claude Code to:
• Rapidly prototype and ship features
• Improve code quality and reduce boilerplate
• Assist in debugging, refactoring, and test generation
• Continuously evolve how we use AI to increase engineering velocity and output quality

Engineering Excellence

• Write clean, maintainable, well-tested code
• Contribute to code reviews, RFCs, and engineering standards
• Help define and evolve best practices, patterns, and architecture
• Ensure high quality through testing (unit/integration/E2E) and strong fundamentals

Collaboration & Ownership

• Work closely with Product, Design, other engineers, and SME’s from other parts of Cardata to shape solutions, not just implement tickets
• Break down complex problems into clear, shippable increments
• Take ownership of delivery, timelines, and outcomes
• Contribute to a culture of continuous improvement and accountability

What You'll Bring

• 6–10+ years of experience building modern web applications
• Strong expertise in: (TypeScript, React, NextJS); NestJS (Nice to have) 
• Experience working with PostgreSQL or other relational databases

Frontend Strength

• Deep understanding of:
• Component architecture and design systems
• State management and data fetching patterns
• Performance optimization and UX best practices
• Ability to build clean, intuitive, and scalable UI systems

AI-Native Development

• Hands-on experience using Cursor, Claude Code, or similar AI tools in your development workflow
• Understanding of efficiency gains using spec driven workflows 
• Demonstrated ability to use AI to increase speed, improve code quality, and reduce rework
• Strong judgment on when to trust vs. verify AI-generated code

Engineering Fundamentals

• Strong understanding of testing (unit/integration), CI/CD, and code quality practices
• Experience working in fast-paced, ambiguous environments
• Proven ability to scope, break down, and deliver complex features

Collaboration & Communication

• Skilled at working and communicating cross-functionally with Product, Design, and other SME’s and explaining technical decisions clearly
• High ownership mindset with a bias toward action and results

Nice to Have

• Experience with AWS (Lambda, SQS/SNS, etc.)
• Experience building internal tools, platforms, or design systems
• Familiarity with feature flagging tools (e.g., Flagsmith)
• Experience with analytics/data tools (e.g., Snowflake, ThoughtSpot)
• Background in high-growth SaaS environment

Why this role is Compelling

• High-impact ownership role with direct influence over architecture, UX direction, and platform evolution
• AI-native engineering environment using tools like Cursor and Claude Code as part of real day-to-day development workflows
• Strong product and business exposure with engineers shaping solutions directly alongside Product, UX, and SMEs

See yourself at Twilio

Join the team as Twilio’s next Senior Sales System Engineer ( Application Engineer 3 )

About the job

Twilio is looking for a Senior Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape. 

You are right for this role if you excel at solving multi-faceted problems, managing large volumes of data,  and building world-class tools that drive impact. The ideal candidate is able to deeply understand the core business problem being addressed, balance speed and quality, and provide solution alternatives. You are a results-oriented individual who is motivated to tackle complex problems, has a "can do" attitude, and is comfortable asking questions.

Responsibilities

In this role, you’ll:

• Work with the GTM Automation Systems team on evolving a Salesforce data model that is technically scalable, easily reportable, and functionally intuitive for end users.
• Utilize SOQL API’s, Apex controllers, Apex Web Services, Apex callouts, and other development tools to build custom functionality that tailors our sales systems to our unique business and operating model.
• Participate in technical analysis activities together and document requirements for application Integration and also involved in integration design activities working with architects and other stakeholders.
• Review and assure quality in all code entering our codebase.
• Continually evaluate and refactor our existing codebase for increased extensibility.
• Architect and implement solutions specifically designed to stay within Salesforce multi-tenant constraints (e.g., Heap Size, CPU timeouts, and SOQL limits).
• Ability to learn new technologies depending on project requirements.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 4-6 years of experience building and maintaining Salesforce environments supporting enterprise-scale systems.
• Must have hands-on experience building Lightning Web Components, Apex,SOQL GitHub, and other CI/CD tools within Salesforce.
• Solid understanding of Salesforce integration patterns (REST/SOAP APIs, platform events, asynchronous processing)
• Strong experience designing Salesforce data models for complex workflows and integrations
• Experience leveraging AI-assisted development tools (e.g., Claude, Cursor) to accelerate the development of Apex code, Flows, and Salesforce metadata while maintaining code quality and best practices
• Debug issues, troubleshoot errors, and help maintain existing Salesforce solutions for performance and reliability
• Collaborate with team members, business analysts, and stakeholders to understand requirements and implement solutions
• Stay updated with Salesforce features, tools, and releases while continuously improving technical and problem-solving skills.
• Proficiency in developing unit tests with assertions for core functionality

Desired:

• ​​Platform Developer 1 and ​​Platform Developer 2 certification 
• Experience in SQL, Python, Data Cloud, Snowflake
• Hands-on experience with MuleSoft/Informatica or similar middleware
• Experience developing and deploying through Heroku.
• Experience with Agentforce (AI bots, agent assistance, automated routing and classification) Einstein, AI tools/technologies , Tray.io

Location

This role will be based remotely in British Colombia, Alberta, or Ontario Canada

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

The estimated pay ranges for this role are as follows:

• CAD $109,600 - $137,000

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

About AlayaCare 

At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.   

With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We are seeking a Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products.

As a senior member of the team, you’ll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while influencing the enterprise-wide data architecture. You will also mentor junior engineers and drive best practices in data engineering.

What You’ll Do

• Design, develop, and maintain scalable, cost-effective, and reliable data pipelines for structured and unstructured data.
• Translate business needs into technical requirements and ensure alignment with product and customer success teams.
• Architect and implement data storage solutions (data lakes, warehouses, real-time processing systems) and supporting cloud infrastructure.
• Optimize pipelines for performance, scalability, cost-efficiency, and automation.
• Ensure data quality, integrity, and security across all systems.
• Evaluate and adopt new tools, technologies, and processes.
• Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
• Document workflows and processes for knowledge sharing and maintainability.
• Stay current on industry trends in data engineering, ML, and cloud computing.
• Provide mentorship and technical leadership to junior engineers.

What You Bring to the Team

• 5+ years of hands-on experience with data software development.
• Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
• Experience with streaming technologies such as Kafka, Kinesis, and Flink.
• Familiarity with Docker and Kubernetes.
• Expertise in dimensional data modeling and semantic layer design.
• Strong collaboration, communication, and problem-solving skills.
• Experience in Agile development methodologies.
• Mindset encouraging transparency, accountability, and trust.
• Experience in healthcare, home health, or medical devices is an asset.
• Familiarity with data governance concepts & tools is an asset.
• Bilingual in French and English is an asset.

Why Join AlayaCare?  

Work With Purpose  

At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.  

Grow in a High-Trust Culture  

We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.  

Balance That Works for You  

We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.  

Benefits That Matter  

• Equity in a well-funded, scaling company.  
• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.  
• Parental leave top-up and family support programs.  

Inclusive by Design  

We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.  

Location and Work Model

This role is based in Montreal. At AlayaCare, our hybrid model includes 2 set in-office collaboration days/week, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork.  

Ready to Join Us?  

Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.  

AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.  

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to talentacquisitionteam@alayacare.com. 

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto.

About OpenTable:

With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

The Role

Reporting to the Manager, Revenue Strategy and Operations, this position is responsible for supporting a variety of sales and services related programs, initiatives, and analytics in North America. Candidates for this role must have experience manipulating large sets of data to discover trends and make recommendations. The role will work cross-functionally with multiple departments including executive leadership, sales, marketing, operations, finance, engineering, and data analytics to support the design, implementation and continued optimization of multiple business needs. This includes delivering data-driven insights to internal partners to inform short and long term strategy and action plans. The ideal candidate will be able to recognize and understand the relationship between clean data, clear & efficient processes, and reporting.

The Sr. Analyst level position is expected to have an excellent understanding of the OpenTable Sales and Services and Marketing organization, the ability to learn quickly, and to be able to work in ambiguity. You'll be able to navigate the roles, reporting, and reality of the business in the field. This position needs to have excellent communication, project management and data analysis skills and be comfortable building recommendations and owning stakeholder relationships. Experience with Salesforce, SQL queries, BI tools (Preset, Tableau, Power BI, Looker) and a finance, analytics or strategy background highly preferred.

Responsibilities

• Sophisticated analytics to support global Sales, Services, and Marketing decisions, including recurring monitoring of key performance metrics and the health of specific business segments
• Prepare and present analyses and narratives for audiences ranging from field sales to senior leadership
• Translate data sets into impactful insights, recommendations, dashboards, and reports for the larger sales, marketing and operations teams
• Cultivate and manage strategic relationships with various sales leaders, partnering with them to drive key initiatives and measurable results across diverse business segments
• Manage flow of inbound requests from the Global Restaurant Sales and Services (RSS) team for various ad hoc analyses, reporting needs, process and system enhancement requests
• Partner with Salesforce and BI teams to implement process and data optimizations
• Build and maintain financial models, forecasts and dashboards for various business scenarios
• Salesforce.com (SFDC) data stewardship and improvement; dashboard and report creation and upkeep; end user support and documentation management

Skills

• 3-5+ years of experience in analytics and at least 2 years of experience leading Analytics efforts with an organization
• Experience with Snowflake or any other relational database
• Strong SQL skills + Experience with design and development of ETL processes
• Advanced proficiency with data visualization tools (e.g., Preset, PowerBI, Tableau) to build self-serve dashboards
• Advanced Excel/Google Sheets skills (e.g., pivot tables, V/XLOOKUP, INDEX/MATCH) required
• Operational experience in measuring and improving efficiency, utilization, scale initiatives, etc
• Proactive, advanced user of AI and automation tools (e.g., generative AI, code copilots, workflow automation) to accelerate analysis, improve quality, and operationalize repeatable workflows.
• Experience with Google Platforms: Google Analytics, Google Ads, Google Search a plus
• Strong preference for experience with marketplace dynamics and pricing analysis (e.g., pricing, discounting, yield analysis)
• Strong data quality and debugging mindset; ability to reconcile results and resolve issues with BI/Engineering
• Proven ability to effectively manage multiple stakeholders
• Strong verbal and written communication skills, including detailing business processes and requirements
• Excellent analytical, reporting, problem-solving, negotiation, and project coordination skills
• Experience with LTV/CAC, commission/incentives, and sales territory management a plus
• Experience with Google Platforms (Google Analytics, Google Ads, Google Search) a plus
• Understanding of sales process within OpenTable, or equivalent sales process experience
• Quick-thinking, self-starter with a strong sense of ownership and ability to manage competing priorities in a fast-paced environment
• High energy, growth mindset, and strong sense of curiosity; willingness to take on tough projects

Benefits and Perks

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to Headspace
  • Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• 20 days of paid time off
• Private health and dental insurance
• Life and Disability insurance

The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses, is $84,000-$95,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

#LI-LR1

We are looking for a Sales Operations Specialist to join our Sales Strategy & Operations Team. This individual will be primarily responsible for supporting our Sales teams. This role focuses on optimizing sales processes, providing strategic insights and leveraging data and automation to accelerate growth. To be successful in this role, you will have experience working cross functionally, possess excellent organizational and communication skills, and hold a curiosity for problem solving, as well as have an ability to use data to drive insights, strategic direction and decisions.

What You’ll Do

• Support day-to-day management of tools across the sales tech stack (e.g., CRM, sequencing platforms, data providers, analytics platforms), build workflows and automations and be first troubleshoot issues
• Optimize our lead generation, routing, and conversion systems
• Analyze funnel performance, provide data-driven strategic insights to sales leadership and implement prioritized strategies
• Analyze sales channel/campaign performance and identify areas for improvement (eg. A/B messaging, targeting, and sequences)
• Create dashboards and reporting systems to track KPIs, such as acquisition, conversion, activation, and revenue using Salesforce, G-sheets or Snowflake
• Collaborate with sales reps and managers to gather feedback and improve workflows
• Research and leverage new tools, trends, and AI solutions to enhance sales team performance

What You’ll Bring

• Bachelor’s degree in Business Administration, Data Analysis, Data Science Engineering, or a related field (or equivalent experience)
• 1-3 years of experience in a technical or operational role within a SaaS organization supporting sales, marketing, or growth (e.g., sales ops, solutions engineering, growth engineering)
• Familiarity with CRMs (Salesforce is a bonus) with experience pulling reports, building dashboards and looking at metrics
• A proactive, ownership mindset: the ability to identify problems and drive solutions without waiting for instruction
• Strong business acumen and analytical skills with the ability to understand the “why” and not just the “what”. Comfort working with data (Excel/G-sheets)
• Ability to lead data analysis for sales leaders & provide clear recommendations. 
• Strong attention to detail and organizational skills

Nice to haves:

• Experience with SQL, Python, APIs, data pipelines,system integrations, ChatGPT, Gemini and/or Claude
• Experience managing 3rd party vendor relationships and tools 
• Experience building AI tools or bots

Consensys is the leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.

Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.

Whether building a dapp, an NFT collection, a portfolio, or a better future, the instinct to build is universal. Consensys inspires and champions the builder instinct in everyone by making web3 universally easy to use and develop on.

Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on. 

You’ll get to work on the tools, infrastructure, and apps that scale these platforms to onboard one billion participants and 5 million developers. You’ll be constantly exposed to new concepts, ideas, and frameworks from your peers, and as you work on different projects — challenging you to stay at the top of your game. You’ll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies. 

About the Data Team

The Data team sits within the Office of the COO and builds the infrastructure that powers analysis across the organisation. We design, run, and optimise pipelines that bring together product, marketing, and financial data at scale. Our role is to ensure data is reliable, accessible, and ready for use—helping Consensys move fast while maintaining quality and trust.

What you’ll do

• Design, build, and maintain robust data pipelines that integrate sources across the business.
• Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery.
• Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team.
• Develop and optimize data models to deliver trusted, structured, and business-ready data.
• Ensure data quality, security, and governance are embedded in all pipelines and systems.
• Orchestrate and monitor pipeline execution to ensure reliability and scalability.
• Deploy and manage infrastructure as code.
• Build and tune big data pipelines using SQL, Python, and distributed processing frameworks.
• Work with cloud data warehouses to enable insights and analytics.
• Maintain and update reporting solutions and user dashboards.
• Automate workflows and improve CI/CD pipelines to reduce manual processes.

Would be great if you brought this to the role

• Over 6 years of experience as a Data Engineer
• Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released.
• Strong SQL skills and experience with cloud warehouses (e.g.: Snowflake, BigQuery, Redshift).
• Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster).
• Comfort with Python or other scripting languages for ETL and automation.
• Familiarity with data governance and metadata management (e.g.: DataHub).
• Experience deploying and managing infrastructure as code (e.g.: Terraform, Pulumi).
• Exposure to data integration and ingestion tools (e.g.: Airbyte, Segment).
• Experience with big data and distributed processing (e.g.: Apache Spark, AWS EMR, S3).
• Exposure to open source projects
• Experience maintaining and improving reporting solutions and dashboards (e.g.: Preset/Superset, Cube.dev).
• Familiarity with CI/CD practices and automation (e.g.: GitHub Actions).
• A collaborative mindset and eagerness to work with both technical and non-technical colleagues.

Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.

It is a requirement of employment in this position that applicants will be required to submit to background checks including but not limited to employment, education and criminal record checks. Further details will be provided to applicants that successfully meet the criteria for the position as determined by the company in its sole discretion. By submitting an application for employment, you are acknowledging and consenting to this requirement.

S'more about the team

As a Staff Analytics Engineer, you will be the technical architect and strategic lead for data assets driving HelloFresh’s growth globally. Data-driven decision making is at the core of our company culture and your extensive experience and knowledge across technical and business related topics will enable us to make better and faster decisions. You will work with teams across the Growth Alliance - for example Conversions, Payments, Pricing/Benefits, Communications and Adtech - by proactively identifying opportunities and building data infrastructure for insights and AI usage. You will be an influential member of the Growth Analytics team, mentoring other team members and leading the adoption of new technologies and ways of working.

Lettuce share what this role will be responsible for

• Lead Data Quality & Strategic Optimization: Act as the final authority on SQL/Python reviews and own strategic systems. You will resolve systemic deficiencies, manage non-functional requirements like global scalability, and make high-level design trade-offs in ambiguous, high-risk situations.
• Architect Robust Data Models & AI Foundations: Drive the design of scalable models and create AI-ready data foundations. You will transform data through medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and "truth sets" that intuitively reflect complex business logic.
• Drive Pipeline Stewardship & Best Practices: Take ultimate accountability for pipeline reliability and define the tooling roadmap. You will lead high-impact migrations, set monitoring strategies for latency and throughput, and evangelize the adoption of new technologies like DBT and observability tools.
• Enable Cross-Functional Strategy & Mentor the Team: Partner with leadership to translate business goals into technical roadmaps while you mentor and scale the team. You will develop self-service tools for analysts and initiate organizational changes to improve delivery speed and data accuracy.
  
  
  

Sound a-peeling? Here's what we're looking for

• Leadership in Analytics Engineering & Change Agency: 7+ years of experience with a proven track record of owning technical strategy across multiple business domains. You don’t just manage the status quo; you actively simplify codebases, resolve root-cause deficiencies, and lead teams through complex migrations.
• Mastery of the Modern Data Stack & AI Proficiency: Expert-level SQL and Python skills with deep experience refactoring complex pipelines (e.g., Snowflake, dbt). You possess a strong understanding of the data lifecycle for AI and are familiar with LLM-integrated data workflows.
• Strategic Problem Solving & Exceptional Communication: Ability to solve high-complexity technical problems and anticipate bottlenecks before they hit the business. You can effectively advise Senior Leadership, bridging the gap between deep technical architecture and business value.
• Operational Excellence Mindset & Pragmatism: A focus on "metrics that matter" (P0 pipelines, MTTR, documentation) combined with the business acumen to know when to drive standards and when to adapt for optimal outcomes.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Staff Product Security Engineer

Overview

Instacart’s Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data.

We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency.

You’ll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You’ll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart’s data platform.

Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values pragmatism, clarity, and impact.

About the Job

• Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
• Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in.
• Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend.
• Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform.
• Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment.

About You

Minimum Qualifications

• 5+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale.
• Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability.
• Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems.
• Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production.
• Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels.

Preferred Qualifications

• Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR).
• FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts.
• Deep SQL proficiency and strong skills in Python or Scala for systems-level development.
• Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments.
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

#LI-Remote

ABOUT THE ROLE

We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy.

In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. 

You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.

ABOUT THE TEAM

The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence.

KEY RESPONSIBILITIES

• Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
• Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
• Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
• Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
• Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.
• Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
• Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
• Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.

ABOUT YOU

Minimum Qualifications

• Bachelor’s degree in a related field
• 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles
• Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
• Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
• Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
• Strong communication skills with the ability to engage effectively across technical and non-technical teams

Preferred Qualifications

• Public company experience with exposure to SOX compliance
• Background in high-growth technology environments
• Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
• Project management experience a plus
• Demonstrated ability to support Finance and Accounting teams with scalable data solutions
• Cloud cost management experience, ideally in an AWS environment
• Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)

#LI-Remote

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the Revenue team 

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.

As a Business Systems Analyst II, you will be an integral member of the Business Systems team within the Revenue Org! You will collaborate with the rest of Business Systems and key stakeholders to craft and deliver technical solutions to business problems and transform the way our Revenue colleagues thrive. We look for candidates who strive for simple, sophisticated solutions and continuously improve both their technical and soft skills. The ideal candidate will demonstrate the ability to work nimbly and efficiently and adapt in a constantly evolving environment.

In this role, you will lead high-impact projects from inception to completion, ensuring that each initiative aligns with the company's strategic goals and delivers measurable results. The ideal candidate will possess a strong background in the Salesforce ecosystem, project management, exceptional communication skills, and a keen eye for detail, ensuring that all activities are executed flawlessly and efficiently.

We are experiencing explosive growth with millions of customers across thousands of merchants in-store and online, and your technical leadership will be a key enabler of that growth. Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride!

What You'll Do

• Develop requirements to automate and scale core processes; translate needs into user stories and process flows; lead discovery to identify gaps and opportunities.

• Own end-to-end requirements lifecycle from intake through delivery and post-launch validation.

• Gather and report data on key projects using tools such as, Salesforce, IronClad, and Snowflake to support critical, data-driven decisions across cross-functional initiatives.

• Oversee program deliverables, define scope, and manage expectations for successful product migrations.

• Lead and execute billing systems initiatives to support diverse product and pricing strategies.

• Establish and maintain strong partnerships with cross-functional teams—Sales Operations, IT, Engineering, and Product Development—acting as the primary Point of Contact (POC) for the Business Systems team.

• Leverage project management tools (e.g., Jira, Notion) to deliver timely updates on internal projects, product launches, and roadmap progress.

• Analyze and optimize business processes, driving continuous improvement initiatives to streamline operations and deliver scalable, system-driven solutions.

• Support product launch preparations by engaging in system testing and documentation to ensure thorough enablement readiness.

• Document workflows and process enhancements related to quoting, billing, and provisioning systems.

• Demonstrate adaptability and influence by learning and collaborating effectively within a remote working environment.

What We Look For

• 3+ years of experience with business systems, with a focus on the commerce-to-cash process, complemented by corporate experience and/or a background in systems consulting.

• Bachelor’s degree in Finance, IT, Business Administration, related field or equivalent experience.

• Demonstrated ability to take initiative while collaborating closely with teammates, learning from others, and sharing insights with the broader team.

• Proficient in Salesforce (SFDC), Snowflake and other reporting tools.

• Strong skills in analytical thinking, problem-solving, and organization.

• Skilled in reporting, data analysis, and data visualization.

• Knowledgeable in Quote-to-Cash processes and systems.

• Extensive cross-functional experience with excellent collaboration skills, capable of working with all levels of management across diverse functional teams.

• Able to synthesize and distill complex information, handle ambiguity with ease.

• Capable of understanding intricate system architecture where data flows through interconnected systems managed by various teams.

• Experienced in system implementations, user acceptance testing, and related documentation.

• Exceptional attention to detail and organizational skills, with the ability to manage multiple projects and meet tight deadlines in a fast-paced environment.

• Technically adept with a proven ability to quickly learn new technologies.

Pay Grade - H
Equity Grade - 3

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $78,000 - $118,000

This posting is for an existing vacancy.

#LI-Remote

About the Revenue team 

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.

As a Business Systems Analyst II, you will be an integral member of the Business Systems team within the Revenue Org! You will collaborate with the rest of Business Systems and key stakeholders to craft and deliver technical solutions to business problems and transform the way our Revenue colleagues thrive. We look for candidates who strive for simple, sophisticated solutions and continuously improve both their technical and soft skills. The ideal candidate will demonstrate the ability to work nimbly and efficiently and adapt in a constantly evolving environment.

In this role, you will lead high-impact projects from inception to completion, ensuring that each initiative aligns with the company's strategic goals and delivers measurable results. The ideal candidate will possess a strong background in the Salesforce ecosystem, project management, exceptional communication skills, and a keen eye for detail, ensuring that all activities are executed flawlessly and efficiently.

We are experiencing explosive growth with millions of customers across thousands of merchants in-store and online, and your technical leadership will be a key enabler of that growth. Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride!

What You'll Do

• Develop requirements to automate and scale core processes; translate needs into user stories and process flows; lead discovery to identify gaps and opportunities.

• Own end-to-end requirements lifecycle from intake through delivery and post-launch validation.

• Gather and report data on key projects using tools such as, Salesforce, IronClad, and Snowflake to support critical, data-driven decisions across cross-functional initiatives.

• Oversee program deliverables, define scope, and manage expectations for successful product migrations.

• Lead and execute billing systems initiatives to support diverse product and pricing strategies.

• Establish and maintain strong partnerships with cross-functional teams—Sales Operations, IT, Engineering, and Product Development—acting as the primary Point of Contact (POC) for the Business Systems team.

• Leverage project management tools (e.g., Jira, Notion) to deliver timely updates on internal projects, product launches, and roadmap progress.

• Analyze and optimize business processes, driving continuous improvement initiatives to streamline operations and deliver scalable, system-driven solutions.

• Support product launch preparations by engaging in system testing and documentation to ensure thorough enablement readiness.

• Document workflows and process enhancements related to quoting, billing, and provisioning systems.

• Demonstrate adaptability and influence by learning and collaborating effectively within a remote working environment.

What We Look For

• 3+ years of experience with business systems, with a focus on the commerce-to-cash process, complemented by corporate experience and/or a background in systems consulting.

• Bachelor’s degree in Finance, IT, Business Administration, related field or equivalent experience.

• Demonstrated ability to take initiative while collaborating closely with teammates, learning from others, and sharing insights with the broader team.

• Proficient in Salesforce (SFDC), Snowflake and other reporting tools.

• Strong skills in analytical thinking, problem-solving, and organization.

• Skilled in reporting, data analysis, and data visualization.

• Knowledgeable in Quote-to-Cash processes and systems.

• Extensive cross-functional experience with excellent collaboration skills, capable of working with all levels of management across diverse functional teams.

• Able to synthesize and distill complex information, handle ambiguity with ease.

• Capable of understanding intricate system architecture where data flows through interconnected systems managed by various teams.

• Experienced in system implementations, user acceptance testing, and related documentation.

• Exceptional attention to detail and organizational skills, with the ability to manage multiple projects and meet tight deadlines in a fast-paced environment.

• Technically adept with a proven ability to quickly learn new technologies.

Pay Grade - H
Equity Grade - 4

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $100,000 - $140,000
USA base pay range (all other U.S. states) per year: $88,000 - $128,000

#LI-Remote

About the Role

We’re looking for a Staff Software Engineer to join our Reverse ETL product engineering team.

Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.

As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – UI, authentication, billing, data model, and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.

This is a full-time position based out of our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team

Technologies You’ll Use

• Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
• Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
• Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
• Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
• Familiarity with leading cloud providers, such as GCP, AWS, or Azure
• Experience being on-call

What You’ll Do

• Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
• Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
• Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
• Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
• Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout

Skills We’re Looking For

• Can build things end-to-end. Our engineers build, deploy and maintain their code.
• Is adept with data, backend systems, APIs, and UI components.
• Is customer-focused, with an eye for building delightful product experiences and developer experiences.
• Approaches new problems with a scrappy optimism, with a bias towards action.
• Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
• Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
• Able to work in-person in our Oakland office 2 days per week.
  
  #LI-HYBRID #LI-AM1

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre. 

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles. 

DESCRIPTION DU POSTE : 

Nous sommes à la recherche d'un(e) développeur.euse en intelligence d'affaires (BI)  pour différents projets d'envergure. Le développeur en intelligence d’affaires transforme les données brutes en informations exploitables, aidant ainsi les entreprises à optimiser leurs opérations et à prendre des décisions stratégiques. 

RÔLE ET RESPONSABILITÉS : 

• Réaliser des ateliers avec les différents intervenants du côté affaires pour comprendre leurs besoins en matière de données et fournir des solutions adaptées.
• Faire la collecte et l’intégration des données de diverses sources vers l’entrepôt de données.
• Utiliser des outils analytiques pour examiner les données, en mesurer la qualité, détecter les anomalies.
• Analyser les besoins et concevoir des indicateurs clés de performance. Développe des rapports et des tableaux de bord riches en information et interactifs.  
• Assurer le bon fonctionnement et la maintenance des systèmes de données, y compris la mise à jour et la résolution des problèmes techniques.
• Collaborer avec d'autres développeurs et architectes afin de s'assurer que la solution et ses composantes respectent les exigences en matière de performance et de sécurité. 
• Réaliser des ateliers avec les différents intervenants du côté affaires pour comprendre leurs besoins en matière de données et fournir des solutions adaptées. 

COMPÉTENCES ESSENTIELLES 

• Maîtriser le langage SQL, procédures/fonctions stockées
• Maîtriser les concepts et la pratique liés à la modélisation de données décisionnels  
• Connaissance d’outils ETL, tel que SSIS et le langage DAX
• Être à l’aise avec des outils d’analyse courants, tel que Power BI, Tableau, ou QlikView pour la visualisation des données.
• Connaître des langages de programmation comme Python ou R pour l’analyse avancée des données.
• Savoir expliquer des concepts techniques complexes de manière claire et concise aux parties prenantes non techniques. 

QUALIFICATIONS ET EXPÉRIENCE :  

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée avec un programme en intelligence d’affaires, en sciences des données ou l’équivalent;
• Expérience d'au moins 5 ans et plus dans le domaine de l’intelligence d’affaires
• Maitrise de plusieurs outils technologiques courants dans le domaine
• Un atout : Détenir une certification à jour sur un des écosystèmes de données infonuagiques suivants : Microsoft Azure; Amazon Web Services (AWS), Snowflake, IBM Cloud  
• Connaissance des principes de développement Agile  
• Esprit d’équipe, capacité à aider ses collègues et partager ses connaissances au profit de l’équipe.
• Autonomie, rigueur et orienté client. 

AVANTAGES SOCIAUX : 

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres : 

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation de handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un(e) Conseiller.ère en ingénierie de données pour différents projets d'envergure. Le conseiller en ingénierie de données maitrise de bout en bout les environnements de production, d’extraction, de nettoyage et d’exploitation des données. Il conçoit, construit et maintient les infrastructures de données pour assurer la collecte, le stockage, et l’analyse efficace des données au sein de l’entreprise.  
  

RÔLE ET RESPONSABILITÉS : 

• Recueillir les besoins analytiques exprimés par les utilisateurs ;
• Designer et réaliser des pipelines d'ingestion et de transformation de données ;
• Mettre en œuvre des solutions de lac de données, entrepôt de données, comptoir de données ;
• Effectuer des spécifications et de la documentation de mapping de données ;
• Contribuer au développement des méthodes et documenter les solutions techniques ;
• Assurer la performance, la sécurité et la fiabilité des infrastructures de données. 

COMPÉTENCES ESSENTIELLES 

• Compréhension des processus ETL : Expertise dans les processus d’extraction, de transformation et de chargement des données ;
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake 
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées  
• Maîtriser SSIS et le langage SQL, procédures/fonctions stockées ;
• Maîtriser les concepts et la pratique liés à la modélisation de données ;
• Maîtriser les langages de programmation Python, Java, DAX.

QUALIFICATIONS ET EXPÉRIENCE : 

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires ;
• Expérience d'au moins 7 ans et plus dans le domaine de l’intelligence d’affaires ;
• Détenir une certification à jour sur un des écosystèmes de données infonuagiques suivants : Microsoft Azure; Amazon Web Services (AWS), Snowflake, IBM Cloud  (atout)
• Connaissance des principes de développement Agile ;
• Esprit d’équipe, capacité à aider ses collègues et à partager ses connaissances au profit de l’équipe ;
• Autonomie, rigueur et orienté client. 

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un.e Conseiller.ère en architecture d'intelligence d'affaires pour différents projets d'envergure. Un architecte en intelligence d’affaires joue un rôle crucial dans la conception et la mise en place de solutions informatiques pour aider les entreprises à prendre des décisions stratégiques. Il collabore avec les équipes techniques et métiers pour comprendre les besoins en données de l’entreprise et développer des systèmes pour collecter, stocker, analyser et visualiser ces données. Il est responsable de l’architecture des entrepôts de données, des outils ETL et des plateformes de visualisation, tout en veillant à la sécurité et à la conformité des données. 

RÔLE ET RESPONSABILITÉS :  

• Superviser les technologies de l’information et influencer l’architecture cible de l’entreprise
• Guider les choix technologiques dans des dossiers stratégiques
• Mettre en place le cadre de modélisation des données (processus, rôles, outils)
• Modéliser et documenter les couches de l’entrepôt de données
• Assurer la qualité et la gestion des données, en respectant le cadre de gouvernance établi
• Participer à la production et à la validation des livrables en intelligence d’affaires. 

COMPÉTENCES ESSENTIELLES 

• Capacité à communiquer et de présenter efficacement les enjeux et les solutions avec les parties prenantes 
• Expérience pratique avec les entrepôts de données et les concepts d’intelligence d’affaires  
• Expérience en gestion de projets et être en mesure d’exercer un leadership reconnu tant à l’externe qu’à l’interne dans le domaine du BI, et agir comme coach auprès des équipes de développement  

QUALIFICATIONS ET EXPÉRIENCE :   

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires 
• 7 années d'expérience dans un rôle similaire
• Détenir des compétences sur plusieurs technologies courantes du domaine: SSIS, Power BI, Talend, Datastage, Databricks, Collibra, Enterprise Architect, Microsoft EPM, JIRA, Confluence, MS Office
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Overview

The Commercial Strategy & Acceleration (CSX) team empowers Instacart’s commercial organizations with domain expertise to drive innovation, cohesive strategy, and agile execution at scale—catalyzing our partners’ success across retailers, brands, and agencies.

We are seeking a Senior Director of Media Analytics to lead a high-impact organization of approximately 30 analytics professionals focused on Instacart Ads. You will set the vision, strategy, and operating model for how measurement, experimentation, and insights drive advertiser outcomes and unlock incremental investment. In close partnership with Brand Partnerships, Ads R&D, Product, Data Science, and our CPG customers—as well as key industry bodies—you will deliver rigorous, trusted analytics that guide decisions for some of the world’s largest brands.

This role is ideal for a hands-on leader who thrives in a fast-paced, constantly evolving environment and enjoys working cross-functionally to solve complex problems at scale. New York is preferred, with flexibility for qualified candidates across the U.S.; periodic travel to New York City, client offices, and industry events is expected.

About the Job

• Own the end-to-end media analytics strategy and roadmap for Instacart Ads, establishing trusted measurement standards that quantify incrementality, optimize performance, and inform advertiser investment decisions.
• Lead, develop, and scale a ~30-person team (including managers and senior ICs) across client analytics, measurement science, experimentation, and commercialization; attract top talent and foster an inclusive, high-performing culture.
• Build and standardize frameworks for causal inference, geo and audience experiments, MMM, attribution, creative effectiveness, and audience insights; partner with Ads R&D and Data Science to productionize models and reporting at scale.
• Collaborate with Brand Partnerships and Sales to deliver compelling, client-ready narratives that translate complex analytics into clear business impact, driving increased advertiser investment.
• Establish data governance, quality, and privacy-safe measurement practices; represent Instacart with industry bodies to advance retail media standards and third-party interoperability.
• Define and manage OKRs, operating cadences, resourcing, and prioritization across a portfolio of analytics initiatives, focusing the team on the highest-impact work.
• Lead third‑party measurement partnerships (e.g., MMM providers, clean rooms) and integrate them with Instacart’s first‑party capabilities to deliver holistic, actionable insights.

About You

Minimum Qualifications

• 12+ years of experience in media analytics, marketing science, or ad measurement within digital advertising or retail media.
• 7+ years leading analytics teams of 15+ (including managers of managers), with a track record of hiring, developing, and retaining diverse, high-performing talent.
• Expertise in incrementality testing and causal inference, experimental design, MMM, and attribution, with programs deployed at enterprise scale.
• Advanced SQL and proficiency in Python or R; demonstrated ability to review methodologies, validate models, and uphold analytic rigor.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering) and proven experience influencing C‑suite stakeholders at large advertisers (e.g., CPGs) to drive investment decisions.

Preferred Qualifications

• Graduate degree (MS, MBA, or PhD) in statistics, econometrics, data science, or a related quantitative discipline.
• Experience at a retail media network, major ad platform, or enterprise CPG/agency leading large-scale analytics and measurement programs.
• Hands-on experience with privacy-safe measurement and clean rooms (e.g., AWS Clean Rooms, Snowflake, Databricks, LiveRamp Safe Haven) and identity solutions.
• Proven success evaluating and integrating third-party MMM/attribution providers (e.g., Analytic Partners, Nielsen, Neustar) and reconciling with first-party signals.
• Engagement with industry bodies (e.g., IAB, ARF, MMA) and recognized thought leadership through standards work, publications, or conference speaking.

#LI-Remote

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the Role

We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support.

You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager.

What You’ll Do

• SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time.
• Diagnostic & Advanced Analytics: Go beyond dashboards to explain why metrics move. Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques.
• Business Intelligence & Self-Service Analytics: Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. Train business users to leverage these tools confidently.
• Finance Partnership & Compliance: Serve as the primary analytical partner to the Finance team. Own financial reporting, reconciliation, and forecasting workflows. Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented.
• Data Quality & Cross-Functional Collaboration: Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues.

What You Bring

Must Have

• Experience: 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment.
• SQL mastery: Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse.
• Looker expertise: Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users.
• dbt proficiency: Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows.
• Finance domain knowledge: Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued.
• Data modeling: Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions.
• Statistical & predictive analysis: Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools.
• Communication: Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills.
• Version control: Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment.
• AI & LLM analytics: Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus.

Nice to Have

• Telecom / subscription domain: Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics.
• Workflow orchestration: Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures.
• Certifications: Looker, Snowflake, dbt, or cloud platform certifications.

​​The base salary range for this position is $79,650 - $88,500. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the Role

We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support.

You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager.

What You’ll Do

• SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time.
• Diagnostic & Advanced Analytics: Go beyond dashboards to explain why metrics move. Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques.
• Business Intelligence & Self-Service Analytics: Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. Train business users to leverage these tools confidently.
• Finance Partnership & Compliance: Serve as the primary analytical partner to the Finance team. Own financial reporting, reconciliation, and forecasting workflows. Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented.
• Data Quality & Cross-Functional Collaboration: Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues.

What You Bring

Must Have

• Experience: 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment.
• SQL mastery: Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse.
• Looker expertise: Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users.
• dbt proficiency: Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows.
• Finance domain knowledge: Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued.
• Data modeling: Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions.
• Statistical & predictive analysis: Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools.
• Communication: Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills.
• Version control: Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment.
• AI & LLM analytics: Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus.

Nice to Have

• Telecom / subscription domain: Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics.
• Workflow orchestration: Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures.
• Certifications: Looker, Snowflake, dbt, or cloud platform certifications.

​​The base salary range for this position is $79,650 - $88,500. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the opportunity

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization. 

What You Will Be Doing

• Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
  
  
• Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
  
  
• Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
  
  
• Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker’s conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
  
  
• Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
  
  
• Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
  
  
• Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
  
  
• Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake’s latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.

What You Bring

• Education: Bachelor’s degree in Computer Science, Statistics, or a related field; Master’s degree preferred.
  
  
• Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
  
  
• SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
  
  
• dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
  
  
• Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
  
  
• Snowflake & AI Capabilities: Experience with Snowflake’s Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
  
  
• Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker’s conversational AI and data agent capabilities) or similar BI tools.
  
  
• AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
  
  
• Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
  
  
• Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
  
  
• ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
  
  
• Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
  
  
• Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
  
  
• Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
  
  
• Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
  
  
• Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.

Nice to Have

• Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
  
  
• AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
  
  
• Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
  
  
• Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
  
  
• Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

​​The base salary range for this position is $81,990 to $91,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. 

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! 

About the opportunity

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization. 

What You Will Be Doing

• Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
  
  
• Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
  
  
• Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
  
  
• Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker’s conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
  
  
• Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
  
  
• Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
  
  
• Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
  
  
• Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake’s latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.

What You Bring

• Education: Bachelor’s degree in Computer Science, Statistics, or a related field; Master’s degree preferred.
  
  
• Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
  
  
• SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
  
  
• dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
  
  
• Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
  
  
• Snowflake & AI Capabilities: Experience with Snowflake’s Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
  
  
• Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker’s conversational AI and data agent capabilities) or similar BI tools.
  
  
• AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
  
  
• Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
  
  
• Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
  
  
• ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
  
  
• Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
  
  
• Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
  
  
• Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
  
  
• Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
  
  
• Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.

Nice to Have

• Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
  
  
• AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
  
  
• Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
  
  
• Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
  
  
• Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

​​The base salary range for this position is $81,990 to $91,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. 

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

About the Team

Mercury* is building a complete financial stack for ambitious businesses. Since we launched in 2019, our customer base has grown to over 200,000 startups and small businesses from all around the world. To help Mercury activate new customer segments, grow our customer base and increase revenue, we are expanding our Revenue Strategy & Operations team, which leads business-critical, cross-functional efforts to efficiently scale our go-to-market organization. 

The Revenue Strategy & Operations team is responsible for platforms & infrastructure, dashboards & insights, enablement and project management to support the broader go-to-market organization. We sit at the intersection of revenue strategy, operations, and data—building the reporting, analysis, and tooling infrastructure that keeps a fast-moving revenue team informed and effective. As an RSO team member, you are a force multiplier, leading cross-functional initiatives that uplevel the capabilities, processes and results within the go-to-market organization.

*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

As part of the journey, we would expect you to:

• Work cross-functionally with go-to-market teams including Sales, Relationship Management, Partnerships and Marketing to identify and solve sticky challenges
• Own high-impact initiatives for months, quarters or possibly years, defining problem statements, developing and driving alignment around solutions, overseeing implementation and measuring impact
• Leverage data to identify the biggest opportunities and drive decision-making—including building dashboards and reports that give GTM stakeholders clear visibility into performance, pipeline, and customer behavior
• Translate ambiguous business questions into well-structured analyses, partnering with data and analytics teams to surface insights that stakeholders can act on
• Get creative, building solutions that leverage AI and other emerging technologies to accelerate workflows, automate manual processes, and unlock new capabilities—you’re excited about what’s possible and eager to experiment
• Work across Mercury’s data environment (Snowflake, Salesforce, Omni, and other platforms) to connect disparate data sources and surface a complete picture of customer and prospect behavior
• Build relationships across a wide range of stakeholders and deliver impact through collaboration and consensus

There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some of this experience:

• Prior experience leading strategic projects or programs, such as in consulting, Business Operations, Sales or Revenue Operations, Program Manager, or other applicable roles
• Demonstrate a strong sense of ownership and can approach new problems with curiosity and first-principles thinking
• Exceptional stakeholder management skills, with the ability to effectively communicate, build consensus and influence across teams and senior-level stakeholders
• Strong data fluency—you’re comfortable pulling your own data and navigating across sources to connect the dots yourself rather than waiting for someone else to do it
• Experience building and maintaining dashboards and reports in tools like Omni, Looker, Tableau, or Salesforce, with a knack for distilling complex datasets into simple, actionable visualizations
• A genuine enthusiasm for AI and emerging technology—you actively seek out ways to integrate AI into your work, have experimented with tools like LLMs, copilots, or automation platforms, and see AI as a force multiplier for the type of strategic work this role demands
• Demonstrated ability to bring structure and simplicity to a variety of complex and ambiguous business problems
• Ability to work independently to identify issues and proactively propose, build and implement the solutions to address them from the ground up
• Comfort working in an ambiguous, fast-paced environment, with a strong understanding of when to escalate urgent issues and to whom
• Excellent oral and written communication skills, and time management and prioritization skills

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $131,500 - $148,000
• US employees outside of the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $118,400 - $133,200
• Canadian employees (any location): 124,300 - 139,000 CAD 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SK1

The Role

As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients.

Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact.

This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking.

What You’ll Do

• Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform
• Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks)
• Translate business requirements into robust, production-ready data solutions
• Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements
• Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies
• Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights
• Drive improvements in data infrastructure, performance, scalability, and reliability
• Identify opportunities to standardize and productize repeatable solutions
• Mentor and support junior team members; contribute to internal best practices and knowledge sharing
• Act as a trusted technical advisor to both internal and external stakeholders

What We’re Looking For:

Required

• 5+ years of experience in a technical role such as Solutions Engineer, Analytics Engineer, Data Engineer, or Sales Engineer
• Strong proficiency in Python and SQL, with experience writing efficient, production-grade code
• Experience with modern data lakehouse architectures (e.g., Databricks, Snowflake) and a solid understanding of performance and cost optimization
• Experience building and maintaining scalable data pipelines and workflows
• Strong customer empathy and a passion for delivering user-facing data products
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Proven ability to operate in a fast-paced, cross-functional environment and manage competing priorities
• Strong problem-solving skills with a solution-oriented mindset
• Demonstrated curiosity and commitment to continuous learning

Nice to Have

• Experience with machine learning, predictive analytics, or optimization models
• Familiarity with BI tools (e.g., Tableau, Looker, Power BI)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience integrating with Salesforce or working with financial / sales data
• Prior experience in ICM (Incentive Compensation Management), SPM (Sales Performance Management), or sales operations

What Success Looks Like:

After 30 Days:

• Develop a strong understanding of Forma’s platform, including client-facing features, data flows, and core use cases
• Build working knowledge of our data architecture, repositories, and tooling (e.g., Databricks, S3, GitHub)
• Establish relationships with immediate team members and key cross-functional partners (Product, Engineering, Customer Success)
• Begin contributing to scoped technical tasks and internal data workflows with guidance
• Begin building context on customer implementations, common challenges, and solution patterns

After 60 Days:

• Participate in client engagements and internal solution discussions, building familiarity with customer needs and communication patterns
• Independently execute well-defined technical tasks with high quality and reliability
• Collaborate with cross-functional stakeholders to understand requirements and translate them into technical solutions
• Begin contributing to medium-complexity data pipelines, transformations, or analyses with guidance
• Begin identifying opportunities to improve existing implementations or workflows

After 90 Days:

• Actively contribute to client-facing conversations, providing technical input and solution recommendations
• Independently scope, design, and implement data solutions for customer use cases
• Own delivery of medium-complexity solutions end-to-end with minimal guidance
• Demonstrate strong problem-solving and sound technical judgment in ambiguous situations
• Proactively identify and drive improvements in data workflows, performance, and scalability
• Begin establishing credibility as a trusted technical partner to internal teams and customers

Long Term:

• You consistently deliver high-quality, scalable solutions that drive measurable customer outcomes
• You become a trusted advisor to clients and internal stakeholders
• You identify opportunities to improve processes and influence product direction
• You elevate the team through mentorship and technical leadership

Additional Job Info:

• This position is for an existing vacancy
• Salary range: $110K - $150K CAD

About Clutch

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee.
Named one of Canada’s Top Growing Companies two years in a row and awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca

About the role

Clutch is seeking a Senior Analytics Engineer to design, maintain, and evolve our analytics data stack. In this role, you will work closely with business teams, own critical data domains, and mentor other analytics engineers while driving data quality, governance, and modern analytics practices.

What you’ll do

• Lead the design and evolution of Clutch’s analytics data stack, including scalable ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow

• Partner with Marketing, Product, Operations, and Finance teams to define metrics frameworks, improve reporting fidelity, and build trusted data products

• Drive best practices in data engineering: testing, observability, CI/CD, and code review for production-ready analytics code

• Own critical data domains end-to-end, ensuring models and pipelines are reliable, performant, and trusted

• Mentor and guide other analytics engineers, elevating technical practices and modeling approach

• Shape Clutch’s data governance strategy by contributing to documentation, standards, and overall data culture

• Experiment with emerging tooling in orchestration, data quality, and self-serve analytics to keep Clutch at the forefront of modern data practices

What we’re looking for

• 6–8+ years of experience in analytics engineering, data analytics, or data engineering in high-growth or fast-paced environments

• Proven track record building and maintaining complex data models with dbt in a production environment (CI, testing, documentation)

• Deep SQL expertise, with experience designing scalable dimensional models and working with large, normalized datasets

• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift

• Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau)

• Strong communication skills with the ability to influence stakeholders and lead discussions around metrics and data strategy

• Strong sense of ownership, accountability, and craftsmanship for data quality, performance, and maintainability

• Experience with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transformations is a plus

• Prior mentorship or leadership experience in a data team is strongly preferred

Why you’ll love it at Clutch

• Autonomy & ownership – create your own path and own your work

• Competitive compensation and equity incentives

• Generous time off program

• Health & dental benefits

Employment Type

Existing, Permanent Full-Time

Compensation & Benefits

• Salary: $120,000 - $160,000 annually 

• Equity incentives

• Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage

• Pay decisions reflect skills, performance, market benchmarking, responsibilities, and working conditions

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

Overview

The Enterprise AI Pod is a forward-deployed, field-first unit within Instacart's Enterprise Solutions team — purpose-built to take the Instacart Intelligence Platform to market with B2B retail and CPG partners. As an AI Field Consultant, you bring the deep vertical expertise in grocery retail and CPG that makes the pod credible in the field — earning trust at every level of a partner organization, from analyst to executive, and translating what you hear into AI use cases R&D can build and partners will actually adopt. This is a small, senior, cross-functional pod operating at the intersection of discovery, co-creation, and change management — early, defining the playbook as we go, and looking for people who are energized by that.

About the Job 

• Be the domain credibility of the pod. You know grocery retail and CPG — merchandising, supply chain, store ops, trade, e-commerce — well enough to walk into any room at any level and earn it immediately. As the pod scales, you'll deepen into a vertical and become Instacart's sharpest expert in that space.
• Get to the real problem. Embed with partner teams to identify where agentic AI will actually move the business — not just what's technically possible, but what will change how operators work day to day. Translate those problems into AI-solvable use cases the pod can build against.
• Lead discovery and requirements. Run structured workshops at partner sites, surface and prioritize the use case map, and turn field learnings into clear inputs for the pod and R&D. You're the bridge between what partners need and what gets built.
• Show, don't just tell. Lead hands-on demos and platform walkthroughs tailored to the partner's specific workflows — making abstract AI capability concrete and compelling in the room. The ability to demonstrate the art of the possible is as important as the ability to articulate it.
• Own adoption. Drive the change management that makes deployments stick — new operating cadences, workflow redesigns, user training. Success is measured by whether team behavior changes, not whether software ships.
• This is a field-first role. Travel is a core part of the job — expect to be on-site at partner locations regularly, potentially 50%+ of the time. If you do your best work embedded with a team rather than behind a desk, you'll thrive here.

About You

Minimum Qualifications

• 10+ years of layered experience — vertical industry expertise inside grocery retail or CPG, B2B consulting experience translating domain knowledge into business solutions, and ideally time at a technology or AI company where you've seen how platforms are built and sold.
• Deep domain fluency across at least one grocery vertical — merchandising, supply chain, store ops, ecommerce, trade marketing, or CPG — sufficient to earn the trust of a category manager, VP of supply chain, or CPG trade lead from the first conversation.
• Demonstrated ability to run consultative discovery with senior enterprise stakeholders and translate findings into clear, structured requirements.
• Experience leading organizational change management — training, workflow redesign, and embedding new operating cadences with business teams.
• Exceptional communication and executive presence — comfortable presenting to C-suite and operational audiences alike, with comfort operating in ambiguous, greenfield environments.
• Proficiency in BI and analytics tools (Tableau, Looker, Power BI) and workshop facilitation tools (Miro, Lucidspark) — you need to know what you're displacing or augmenting and how to map what replaces it.
• Bachelor's degree in Business, Engineering, Operations, or related field, or equivalent practical experience.
• Willingness to travel ~50% within North America.

Preferred Qualifications

• Familiarity with AI and ML concepts — including LLMs and agentic systems — sufficient to connect platform capabilities with partner workflow needs. Partners will reference these, and you need to be conversant enough to contextualize where Instacart's platform fits.
• Exposure to agentic AI systems, RAG pipelines, or LLM-based product development.
• Experience working within systems partners actually run: Snowflake (dominant in grocery/CPG analytics), ERP platforms (SAP, Oracle), TPM/TPO tools, and POS systems.
• Track record contributing to product and engineering roadmap conversations via structured voice-of-customer feedback.
• Strength using data and storytelling to influence decisions and secure investment in operational improvements.
• Prior work in a forward-deployed, embedded, or startup environment.

#LI-Remote

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.

As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.

We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things you’ll do on the job:

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
• Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You Should:

• Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Have deep experience designing and operating production data pipelines
• Be highly proficient in SQL and experienced in data modeling
• Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understand Salesforce data models and common GTM system architectures
• Be able to translate business concepts into durable, well-structured data models
• Communicate clearly with both technical and non-technical partners

Preferred:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

Compensation:

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
• Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SN1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Senior Software Engineer to join our ETL Platform team.

We own the core platform that backs Census’ sync engine. We are responsible for keeping our customer data flowing smoothly - on time, every time. We design and implement projects like our recent Sync Tracking overhaul - enabling us to capture, store, and process huge datasets, giving customers complete visibility into what data is flowing through our pipes; providing the capability to verify that every record is getting where it needs to go. We manage a constantly scaling and resizing fleet of machines to handle the dynamic needs of our customers, so one could call us the shadow infrastructure team as well.

This is a full-time, hybrid position based out of our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.

• Expertise in at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.

• Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)

• Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)

• Familiarity with leading cloud providers, such as GCP, AWS, or Azure

• Experience being on-call

What You’ll Do

• Make valuable contributions to the deepest recesses of our tech stack – including writing typesafe Ruby and Rails with Sorbet, building performant Kotlin microservices, managing highly available Spark clusters, working on deterministic Temporal workflows, and Terraforming all the things in AWS.

• Think in Parquet, live in cloud storage, and have data flowing through your veins.

• Operate in hostile territory on all sides–building and managing a data diffing ETL engine that operates across every type of data warehouse and SQL dialect imaginable on data you don’t own or control, and send it to countless permutations of destinations that could respond any number of unpredictable ways.

• Be a reliable and steadfast operator, participating in the team on-call rotation to help diagnose, triage and fix performance bottlenecks and gnarly edge-cases our customers discover. You’ll leave the campsite cleaner than you found it.

• Work closely with our product team to help design and develop new features to improve data pipeline observability and debuggability, putting you on a first name basis with the data teams of many companies you have come to love and respect.

Skills We’re Looking For

• Ownership - Experience being on-call, driving system quality higher, managing costs and constantly recognizing areas to simplify while always improving composability

• Autonomous and Self-Motivated - thrives in a high-trust environment, driving projects forward and making independent decisions with confidence

• Adaptable and Resilient - comfortably navigates ambiguity and views challenges as opportunities for growth

• Driven and Persistent - maintains a strong focus on goals, confidently overcoming obstacles and eagerly seeking innovative solutions to exceed expectations

This role represents new headcount added to the team to support continued growth and expansion of capabilities.

#LI-HYBRID #LI-AM1

About the Team:

The Financial Data organization is responsible for curating best-in-class structured data, both self-sourced and from third party content providers. The team was historically focused primarily on building a platform of 4,000+ fundamental financial models. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion and enable users to unearth even more comprehensive insights from thousands of content sets. Within this new environment, the Financial Data team is integrating our rich dataset into the platform alongside third party data to create a new final database that will offer our customers an unmatched level of accuracy, context, and flexibility to analyze and make investment decisions. 

About the Role: 

Join the Financial Data Team at Alpha-Sense as a Product Analyst. Successful candidates will demonstrate a highly analytical and problem-solving mindset, a clear interest in product management and financial markets, and strong communication skills.

Who You Are:

• Bachelor’s degree in a highly analytical field such as Engineering, Computer Science, Business, or a related discipline.
• 1–3 years of relevant experience, including internships, or academic project work.
• Interest in building a career in product management and technology development.
• Intellectual curiosity about financial data and capital markets intelligence.
• Proven analytical mindset with the ability to translate complex problems into structured, data-driven solutions.
• Excellent organizational skills and attention to detail.
• Ability to meet deadlines and to work independently.
• Foundational proficiency in SQL to navigate and query financial datasets is required; experience with advanced SQL techniques and Python for data. analysis or automation is considered a strong asset.

What You’ll Do: 

• Support development and execution of the FinData product roadmap.
• Translate product goals into clear, actionable requirements for engineering teams.
• Develop mockups, wireframes, and schematics to communicate concepts and requirements.
• Define business logic and relationships to maintain accurate and predictable system behaviors.
• Query internal PostgreSQL/Snowflake/Athena databases to identify key data-related insights and/or high impact data gaps.
• Conduct detailed screening and data validation to support robust quality-assurance practices.
• Propose design concepts and enhancements to address technical challenges and optimize system performance.
• Develop and maintain product documentation to ensure alignment between all stakeholders.
• Coordinate project prioritization, dependencies, and sequencing across teams and initiatives.
• Support project planning activities, including timeline estimation, scheduling, and tracking.
• Contribute to product and feature release documentation and communicate new functionality to internal stakeholders.
• Work collaboratively with engineers, analysts and product managers.

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.

Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

We are seeking an experienced Principal Data Architect to join our Data & AI team. In this leadership role, you will help shape modern data and AI architecture strategies that enable organizations to achieve business outcomes through scalable, reliable, and secure data platforms. You will work closely with senior stakeholders, client teams, and engineering teams to define architectural direction, guide implementation approaches, and support the delivery of data-driven capabilities across analytics, AI, and operational use cases. You will exemplify Method culture and values by driving standards of excellence and mentoring and educating those who are accountable to you on projects or within the data engineering discipline. You will be reporting into the head of the Data & AI team. 

This role requires a strong blend of technical depth, architectural thinking, client engagement and team mentorship. You will be expected to navigate ambiguity, align business and technology priorities, and help teams deliver practical, high-quality solutions that support long-term value creation. In addition to shaping solution direction, you will play an important role in guiding and developing data engineering teams through coaching, knowledge sharing, and hands-on support.

Travel for team, client and sales meetings is required, typically up to 25%. This is a US-based position in the East Coast or Mid-Central time zone.

Job Responsibilities

• Lead complex data and AI platform initiatives, addressing architectural concerns while enabling delivery teams to meet defined standards, timelines, and budgets.
• Provide client-facing technical leadership on data architecture, data engineering, analytics platforms, and AI/ML infrastructure.
• Collaborate with enterprise architects and senior technology stakeholders to align on architectural decisions, trade-offs, and implementation approaches.
• Communicate architectural concepts clearly to both engineering teams and business stakeholders.
• Design architectures that bridge operational systems and analytical platforms, enabling data products, advanced analytics, and AI capabilities.
• Define and implement architectures for data governance, security, privacy, and regulatory compliance.
• Establish and integrate data quality frameworks, observability practices, and data reliability processes.
• Partner with sales and pre-sales teams to shape solution approaches, validate technical feasibility, and support proposals.
• Develop new value propositions and offerings for the data engineering at Method, create go to market strategies, test and refine the offerings during the sales pursuits.
• Grow and maintain the data engineering team. Provide career guidance and facilitate career development opportunities across Method. 
• Create an environment that brings together the best of various data disciplines with care for the uniqueness of each project. 
• Foster a culture of curiosity and learning, creating opportunities for employees to learn and grow into our future leaders.

Skills Required
Technical Skills

• 8+  years of experience in data engineering, with 3+ years in a technical leadership role. 
• Experience designing and implementing modern data architectures, including lakehouse, data mesh, and real-time data platforms, and evaluating technology trade-offs.
• Strong background in distributed systems and data-intensive applications.
• Experience building and operating large-scale data platforms, including data warehouses, streaming systems, and data lakes.
• Expertise in data modeling, data platform operations, observability, and reliability engineering for data systems.
• Proficiency with modern data and distributed technologies such as Spark, Kafka, Flink, Trino/Presto, Iceberg/Delta/Hudi, and distributed storage systems.
• Experience designing streaming and low-latency architectures and understanding their operational trade-offs.
• Experience designing and deploying AI/ML platforms, including feature stores, model training pipelines, and model serving systems.
• Familiarity with MLOps and ML productionization practices, including CI/CD, model monitoring, and governance.
• Strong experience working with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
• Experience with modern data platforms such as Snowflake, Databricks, or similar analytics environments.
• Understanding of data governance frameworks, data cataloging, lineage, and privacy controls.
• Experience implementing data-driven decision systems, advanced analytics, and machine learning solutions in enterprise environments.

Professional Skills

• Advise C-suite executives on data strategy, AI investment, and digital transformation at the highest organizational level.
• Strong experience supporting pre-sales, solution shaping, and technical discovery engagements.
• Support client partners in growing key accounts by identifying new opportunities, navigating complex situations, and educating clients on the value of our work beyond data and AI.
• Excellent stakeholder management skills and the ability to build trust with both business and technical leaders.
• Ability to cultivate strong partnerships across organizations to drive adoption of modern data and AI capabilities.
• Strong influencing skills, with the ability to galvanize, inspire, and align others around a shared direction.
• Contribute Thought Leadership through presentations, blogs, or public talks
• Strong conflict resolution and risk management skills.
• Team player with the capacity to mentor, guide, and champion engineering teams and architects.
• Commitment to technical excellence, pragmatic delivery, and continuous improvement. 

Why Method?

We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.

We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:

• Continuing education opportunities 
• Flexible PTO and work-from-home policies 
• Pension 
• Health and dental benefits
• Company lunches, company outings, along with a lot of snacks 
• Health and wellness programs 
• Other location specific perks (just ask!)

Next Steps

If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.

* For information on how we process your personal data please see Privacy.

* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"

Colorado Applicants (Colorado Equal Pay for Equal Work Act Disclosure):  The starting salary range for this role to be performed in Colorado is estimated to be between $160,000 to $200,000 annually.  This salary range is specific to Colorado residents only, and provided as a general estimate.  The amount offered may be higher or lower. Method  takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. 

New York City Applicants (New York City Local Law 32;  Pay Transparency Law):  The starting salary range for this role to be performed in New York City is from $192,000 to $205,000. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

Overview

The Associate Director, CRM Development plays a critical role in architecting and scaling the technology foundation that powers TripleLift's go-to-market engine. In this position, you will serve as the primary owner and developer of our Salesforce org - driving everything from custom object builds and workflow automation to data integrity, integrations, and platform governance. Beyond SFDC, you will own and manage our full GTM tech stack — including Outreach, Gong, MediaRadar, and other tools — making deliberate architectural decisions about how these systems connect and interact, while also owning vendor relationships, ensuring data integrity and revenue reporting standards, and enabling our Sales, Revenue Operations, and Account Management teams to operate at peak efficiency.

You will partner closely with Revenue Operations, Sales leadership, and cross-functional stakeholders to translate business requirements into scalable technical solutions - ensuring our systems evolve in lockstep with how we go to market. This is an exciting opportunity for a technically deep, business-minded developer who wants to own a high-impact stack end-to-end, build meaningful infrastructure from the ground up, and play a central role in accelerating revenue growth at a leading programmatic advertising company.

Responsibilities

• Own end-to-end Salesforce development, including custom objects, Apex, Lightning Web Components (LWC), flows, validation rules, and other platform configuration across Sales & Service Cloud and any integrated products
• Architect, build, and maintain integrations between Salesforce and the broader GTM tech stack — including Outreach, Gong, MediaRadar, and other revenue-facing tools — ensuring clean, reliable data flow across systems
• Partner with Revenue Operations and Sales leadership to translate business requirements into scalable technical solutions, managing the full development lifecycle from scoping through deployment
• Govern data quality and integrity across the GTM stack, establishing standards for hygiene, deduplication, and taxonomy that support accurate reporting and forecasting
• Evaluate, implement, and optimize new GTM technologies, serving as the internal subject matter expert on tool selection, vendor management, and platform roadmap
• Proactively monitor platform health across the GTM tech stack, triaging and resolving issues as they arise and managing bug fixes through their full lifecycle from identification through resolution.
• Partner with BI/Data teams to surface Salesforce data in downstream reporting tools (e.g., Snowflake, Omni), and support initiatives to connect BI tooling to CRM infrastructure.

Education & Requirements

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field required
• 5+ years of hands-on Salesforce development experience, including custom objects, Apex, Lightning Web Components (LWC), flows, and REST/SOAP API integrations
• Salesforce Administration Required

About the Finance team 

The Finance team ensures Affirm remains financially sound and strategically positioned for growth. Our team manages financial planning, accounting, pricing, vendor management, tax, investor relations, and corporate development. We deliver timely insights, accurate reporting, and careful analysis to support decision-making. From day-to-day financial operations to major investments, we enable sustainable, informed growth by maintaining strong fiscal discipline.

About the team

Financial Systems owns the data and reporting foundation for Accounting, and the operational reliability of the pipelines that power reporting, reconciliations, and automation. We are building and scaling a single source of truth for financial information using dbt and Snowflake to enable scalable BI, close workflows, controls, and automation across the org.

We’re looking for a Staff Analytics Engineer to build and own our Financial Subledger Data Platform—the canonical set of dbt models, governed datasets, and control frameworks that transform operational/ledger events into trusted, explainable, accounting-ready outputs. This is a senior hands-on role: you will write and ship production dbt code yourself (models, tests, docs), set standards for the platform, and directly manage and mentor one Analytics Engineer as a player/coach. This role operates with high autonomy and significant cross-functional partnership across Accounting, Financial Reporting, Financial Systems, and upstream product engineering teams.

We want someone who can maintain and harden today’s platform while also giving us flexibility to adopt new technologies (e.g., evolving warehouse patterns, new table formats, catalog/governance tooling, orchestration approaches) as our subledger and control needs scale.

What you’ll do

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns.
• Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness.
• Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts.
• Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs.
• Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets.
• Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own.
• Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management.
• Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction.

What we look for

• Deep, hands-on analytics engineering experience: you have built and maintained production dbt projects (models, tests, macros, documentation, CI) and can own them end-to-end.
• Strong SQL and data modeling skills; experience building canonical datasets that support finance reporting, reconciliations, or other correctness-critical outcomes.
• Experience operating data pipelines in a warehouse environment (Snowflake preferred): performance tuning, cost awareness, and reliability practices.
• Strong programming skills (Python preferred) for building data tooling and automation (e.g., control checks, reconciliation workflows, utilities, CLIs, and integrations).
• Deep Snowflake technical expertise: architecture patterns (micro-partitioning/clustering, query optimization), security/governance (RBAC, masking policies), and operational excellence (monitoring, cost management, reliability).
• Strong ownership mindset and ability to lead ambiguous work through influence across Finance, Accounting, and Engineering stakeholders.
• Nice to have:
  • Experience with accounting concepts (subledgers, journal entries/posting logic, balance rollforwards, tie-outs, close processes).
  • Experience designing SOX-friendly controls and producing repeatable evidence from data pipelines.
  • Experience applying AI/LLMs to data quality or reconciliation workflows (e.g., anomaly explanation, automated investigation summaries), with strong governance and human-in-the-loop review.
  • AWS experience (nice to have): S3/IAM, data platform primitives, and cloud architecture concepts that support secure, reliable data products.

Base Pay Grade - O
Equity Grade - 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $170,000 - $220,000

#LI-Remote