ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

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While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 4+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

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About the team

HubSpot’s Data Hub helps RevOps, marketing, sales, and customer teams turn fragmented data into actionable intelligence. We unify data across channels and tools, improve data quality, and activate it inside HubSpot so teams can run AI-powered demand generation, smarter campaigns and sales motions, agentic automations, trustworthy reporting, all without needing to be data experts.

We’re a product engineering team at the intersection of data engineering, ML, applied AI, and go-to-market, and we care as much about reliability, cost, and scale as we do about time-to-value and usability for marketers and sales reps.

About the role

We’re looking for a Principal Software Engineer to lead the next evolution of Data Hub as the backbone for data-driven demand generation.

In this role, you’ll:

• Own core pieces of our data lake and analytics stack (e.g., Iceberg, Spark, batch and streaming pipelines) that power demand gen, segmentation, and scoring at scale.
• Design and evolve data systems that balance cost, latency, data freshness, and reliability, making explicit tradeoffs using concepts like CAP theorem, efficient partitioning, and storage layout.
• Partner closely with PM, product analytics, and GTM leaders to shape commercially meaningful solutions: better lead scoring, funnel visibility, audience building, and campaign attribution for marketers and sales.
• Help make Data Hub an AI‑agent‑forward platform, where curated, evergreen datasets automatically feed AI agents and reporting surfaces rather than requiring manual stitching or ad-hoc pipelines.

Principal Engineers at HubSpot are expected to be hands-on builders, strong partners to product and design, and multipliers for the broader engineering organization.

Key expectations:

Technical skills & domain expertise

• Data engineering & storage: Deep experience building large‑scale data systems with Apache Spark and modern table formats like Apache Iceberg, including efficient partitioning, clustering, and file layout for both heavy ingestion and low‑latency reads.
• Distributed systems & tradeoffs: Applies distributed systems principles and CAP theorem pragmatically to design fault‑tolerant, horizontally scalable services that balance availability, consistency, latency, and cost, where it matters.
• Business outcomes: Can turn ambiguous business goals into clear data models, contracts, and SLAs across multiple storage and compute layers (e.g., Iceberg, warehouses, logs, CRM stores).

As a Principal Engineer, you will:

• Own platform-scale outcomes:  Influence technical direction across the Data Hub product line and shape the architecture for unified profiles, segmentation, and datasets that other teams can build on.
• Be a high-leverage, hands-on builder: Write code and build systems while leading end-to-end delivery of high-impact, multi-quarter initiatives, setting standards for reliability, observability, testing, and incident response.
• Lead through architecture and influence:  Define reusable patterns for ingestion, transformation, quality, sync, and observability, mentor senior engineers and tech leads.

Software development excellence & AI

• Use AI code agents:  Actively use AI-assisted development tools to speed iteration, reduce toil (e.g., scaffolding, tests, refactors), and improve code quality, while defining best practices with the human‑in‑the‑loop approach.
• Champion incremental, outcome-focused delivery:  Break down big, ambiguous problems into incremental milestones that deliver value early and often, balancing long-term platform bets with clear business impact (ARR, adoption, usage, efficiency).
• Raise the bar on engineering practices:  Model strong habits around documentation, design reviews, testing, and observability, and help establish reliability and data quality standards so downstream AI agents and data activation use cases can trust the data they receive.

If you enjoy working at the intersection of data engineering, ML, applied AI, and commercial outcomes, and you like building platforms that make complex data approachable for non-experts, we’d love to talk.

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

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About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. 

Like the sound of this? Keep reading. 

Add a Spark to the Ordinary… 

At Blank Street, we’re reimagining the cafe experience, making high-quality coffee and matcha accessible and efficient. As a Shift Lead, you’ll play a key role in bringing our mission to life. You’ll lead by example on the floor, ensure smooth operations during your shift, and create an environment where both customers and team members feel valued. This is a hands-on role for someone who thrives in fast-paced settings, loves connecting with people, and is passionate about great coffee and matcha. 

Who We’re Looking For

• A friendly and enthusiastic team player with a passion for excellent customer service; you’re always ready to make your customers’ day
• A reliable employee who is able to effectively manage time and priorities, including during busy rush periods where a sense of urgency is necessary
• Passionate about creating delicious coffee and other cafe beverages
• A strong independent problem solver with proven multi-tasking and communication skills
• Someone who is curious, adaptable and always willing to learn
• Comfortable working in a team or independently
• Comfortable with cash-handling and maintaining store safety

What You’ll Own

• Delight our customers with consistent, welcoming and engaging customer service, taking the opportunity to turn every customer into a regular
• Work within a world-class coffee program using the best coffee equipment (the eversys cameos and shotmasters) and product in the industry to prepare the tastiest drinks
• Complete all training to ensures proper measures are in place to achieve the correct handling of food and beverage to retain its freshness and quality
• Have systems in place to avoid wastage of product with both food and beverage, following and adjusting par levels where needed in line with business peaks and lows
• Maintains Local Department of Health standards at all times
• Full and complete knowledge and adherence to all product, service and brand training playbooks
• Participates in all initiatives with the Operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base

Requirements

• Experience in the customer service or hospitality industry
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes
  • Part Time: 15-25 hours per week, 3 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
  • Full Time: 30-40 hours per week, 4-5 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
  • Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”).

Benefits and Perks

• $19.50 per hour + tips 
• A comprehensive Barista accreditation and training program
• Tenure based paid time off
• Commuter benefits
• Sick time
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift
• Free Blank Street swag

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB

Veterinary nursing Shift Leads are the glue that holds each shift together—and the spark that keeps it moving. You own the rhythm and flow of each shift, making sure patients get top-tier care and every VEGgie has what they need to thrive. From team huddles and rounds to break coverage and on-the-floor coaching, you’re the steady presence keeping things smooth, safe, and supported. You don’t need to know every detail, but you do keep a big picture view—anticipating what’s next and jumping in wherever needed. You lead with heart, hustle, and a belief that when your team is empowered, great care follows.

WHAT YOU’LL DO

• Keep a clear pulse on patient status, team bandwidth, and shift-wide needs
• Manage daily workflow and help the team pivot when the unexpected hits
• Ensure shift roles are assigned and adapted as needed, with clarity and care
• Jump in on the floor when help is needed—no task is too small
• Coordinate breaks, assist with conflict resolution, and model calm under pressure
• Lead shift transitions, team huddles, and start/end-of-day wrap-ups
• Communicate clearly, direct questions appropriately, and elevate key issues
• Help the team turn downtime into learning time—or just a moment to breathe
• Flag incidents or notable events with a mindset of transparency and growth
• Work with hospital leadership on coverage, call-outs, and ongoing coaching
  
  

WHAT YOU NEED

• Credentialed Veterinary Technician (CVT, RVT, LVT, LVMT) or enrolled in the VEG Credentialing Support Program preferred
• 1+ years of experience in a veterinary technician or assistant role; experience in emergency or specialty medicine preferred.
• Strong grasp of clinical workflow and team dynamics
• Confidence in navigating floor operations while guiding others with empathy
• Excellent communication and conflict resolution skills
• Flexibility and a willingness to step in wherever needed
• Leadership instincts, an ownership mindset, and a desire to grow professionally
• Basic computer skills, comprehension of practice management software and electronic medical record keeping
• Excellent communicator when collaborating with pet parents and your team 
• Fine motor skills for handling patients and medical equipment
• Ability to stand for prolonged hours, kneel, and work on the floor as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation, including base and 401K match
• Comprehensive health and wellness benefits that start on day one, including medical, dental, and vision coverage, QPR training, and access to free therapy or counseling
• Depending on your role, you may be eligible for equity after one year of full time, active employment with VEG, so you can share in our growth and success
• A BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (no really!). Full-time credentialed VEGgies receive a $2,500/year travel stipend. Full-time uncredentialed VEGgies receive a $1,000/year travel stipend.
• Clinical student loan repayment so you don’t need to worry about your student debt
• Paid parental leave; up to 12 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

About Blank Street

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. 

Like the sound of this? Keep reading. 

Add A Spark to the Ordinary… 

At Blank Street, we’re reimagining the cafe experience, making high-quality coffee and matcha accessible and efficient. As a Shift Lead, you’ll play a key role in bringing our mission to life. You’ll lead by example on the floor, ensure smooth operations during your shift, and create an environment where both customers and team members feel valued. This is a hands-on role for someone who thrives in fast-paced settings, loves connecting with people, and is passionate about great coffee and matcha. 

Who We’re Looking For

• Love for cafe culture and people 
• Friendly, open and approachable person who is able to work well with others
• Strong knowledge of coffee and equipment is a must
• Strong decision making and multi-tasking skills
• Strong interpersonal communication skills
• Passionate about delivering excellent customer connections to create a regular customer base
• Able to work at a fast pace in high volume environments
• Be an exemplary ambassador of our brand to new neighborhoods

What You’ll Own

• Craft beautiful coffee products and serve all Blank Street customers with energy, warmth, and empathy
• Support your GM and our Training Team to help train new employees to succeed at Blank Street, including ensuring that new team members are following all recipe and training for menu items and processes and that they are in correct uniform, are upbeat and vibes are positive
• Open and close the location safely and responsibly and ensure that cleaning duties for the store are followed at the beginning, during and end of the shift
• Positive and solution focused handling of any minor customer issue
• At a store level, leads all initiatives with the operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base for your store

Requirements

• 2+ years’ experience in a customer service leadership position
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes
  
  • Full Time: 30-40 hours per week, 4-5 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
  • Availability to work between 6:30 am and 9:00 pm
  • Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”).

Benefits and Perks

• $19.50/ per hour + tips 
• Barista accreditation and training program
• Paid sick time
• Paid vacation time, based on eligibility
• Health benefits, based on eligibility
• Blank Street coffee and swag 
• As a growing company we have opportunities for advancement for those interested

We're looking for a Software Engineer III to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the infrastructure that powers a new generation of intelligence products by ingesting, transforming, and processing first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations.

In this role, you'll build the data pipelines that ingest and transform massive volumes of contributed data, as well as contribute to front-end experiences that give internal teams and customers visibility into the platform. You'll work across the full stack, with a strong emphasis on backend data engineering and a meaningful front-end component.

What You'll Do

• Design and build data pipelines that ingest, validate, and transform first-party data from customer integrations (CRM systems, email providers, recording platforms)
• Develop and maintain ETL/ELT workflows for processing contributed contact information, opportunity metadata, and engagement signals at scale
• Build and enhance front-end interfaces for monitoring, configuration, and data quality dashboards using Angular
• Work with streaming and batch processing technologies to handle real-time and scheduled data flows
• Collaborate closely with product managers to translate business requirements into technical solutions
• Ensure data quality and integrity across the pipeline - from ingestion through enrichment and delivery
• Contribute to observability and monitoring for pipeline health, throughput, and error rates
• Partner with cross-functional teams (Data Quality, Platform, Product) to deliver impactful features

Must-Have Qualifications

Data Engineering

• 3+ years of professional software engineering experience
• Solid experience building and operating data pipelines (ETL/ELT) at scale
• Proficiency in Java
• Experience with data processing frameworks such as Apache Beam, Apache Airflow or Spark
• Hands-on experience with streaming technologies (Kafka, Pub/Sub, or similar)
• Familiarity with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow/DataProc)
• Understanding of data modeling, schema design, and data quality practices

Front-End Development

• Working experience with modern front-end frameworks, ideally Angular
• Ability to build functional, clean UIs for internal tools, dashboards, and configuration screens
• Comfortable working with REST APIs and integrating front-end with backend services

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Strong problem-solving skills and attention to detail
• Ability to find the right balance between perfection and getting the job done
• Effective communicator who works well in a collaborative, cross-functional environment

Nice to Have

• Experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with Snowflake, BigQuery, or similar cloud data warehouses
• Experience with Terraform or infrastructure-as-code tools
• Exposure to data integration patterns involving CRM systems or email/calendar APIs
• Experience in a B2B data company or data-as-a-product environment

Why This Role Matters

The Contributory Network is a cornerstone of ZoomInfo's long-term strategy. By building the data infrastructure that processes first-party contributions from thousands of companies, you'll directly power intelligence products - from competitive benchmarking to buyer committee insights to market timing signals - that no other source in the world can offer.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to shape how contributory data flows through ZoomInfo is yours to build.

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FEQ427R189

Reporting to the Sr. Manager of Field Engineering for Healthcare & Life Science, the Solutions Architect Manager will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects.  The team will specialize in some of the highest growing and high potential provider accounts across the United States. Your responsibilities will encompass team leadership, strategic collaboration with the sales organization, and ensuring the successful implementation of cutting-edge solutions in enterprise software, big data/analytics, data engineering, and data science.

The impact you will have:

Team Leadership:

• Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation.
• Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts.
• Develop and execute strategies for the continuous growth and success of the Solutions Architect team.
• Foster a culture of continuous learning and development within the team.

Sales Excellence / Databricks Consumption:

• Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency.
• Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle.
• Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans.
• Play a crucial role in achieving the technical win in complex sales cycles.

Customer Success and Value Delivery:

• Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses.
• Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.

What we look for:

• Experience: 7+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.
• Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.
• Team Development: Track record of mentoring, training, and helping peers grow
• Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.
• Leadership: Open to high performing Sr. ICs who have shown leadership traits in their current role 
• Nice to Have: Experience in the healthcare industry especially with health plans and health insurers

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston office and requires two in-office days per week, ideally Tuesday and Thursday.

SLSQ227R438

Locations:

East Coast

As an Named Core Account Executive in Databricks', you are an enterprise sales professional experienced in selling to Enterprise accounts specifically in teh DNB space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Director of Enterprise Sales.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Bachelor's Degree

FEQ327R7

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Location:  Northeast, US

REQ ID - FEQ327R20

We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region.

The impact you will have:

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You work with your sales team and technical peers to drive business outcomes for our clients

What we look for:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud (Azure & AWS).
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks, Snowflake, AWS or Azure Certification

P-1545

• Build a territory plan by 30 days with a clear account prioritization strategy.
• Align both new and existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic 7 figure deals.
• Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect and generate pipeline in this role.
• Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer first mindset and focus on business value.

• 1+ years of closing experience, carrying a direct revenue quota.
• Prior experience in big data, Cloud, or SaaS sales.
• Be able to quickly learn new technologies and value proposition.
• Experience exceeding sales KPIs and quotas.
• Success closing new accounts while working existing accounts.
• Proficiency in MEDDPICC.
• A proven history of exceeding annual revenue targets.
• Consistent top performer with a history of internal promotion.

About the Role:

We are seeking an experienced  Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Hybrid

We're looking for a Senior Software Engineer to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the platform that ingests, transforms, and processes first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations. This data powers a suite of intelligence products - from competitive benchmarking and buyer committee insights to predictive market timing - that are impossible to build any other way.

This role demands a driver. We need someone who takes ownership, pushes through ambiguity, unblocks themselves and others, and relentlessly moves work forward. You won't wait for perfect specs or complete clarity - you'll carve the path, make decisions, and deliver. If you thrive when given a hard problem and the autonomy to solve it, this is your role.

What You'll Do

• Own and drive the design and implementation of large-scale data pipelines that ingest, validate, transform, and enrich first-party contributed data from CRM systems, email providers, and recording platforms
• Architect resilient ETL/ELT pipelines handling massive volumes of contact data, opportunity metadata, engagement signals, and activity patterns
• Take initiative on complex technical challenges - identify problems proactively, propose solutions, and execute with urgency
• Build streaming and batch processing systems for real-time and scheduled data flows using Kafka, Pub/Sub, Apache Beam, or similar
• Establish data quality frameworks, ensuring accuracy, consistency, and completeness across contributed data
• Define and implement observability, monitoring, and alerting for pipeline health, throughput, cost, and data quality metrics
• Drive technical design decisions and guide implementations from concept to production
• Mentor and elevate other engineers on the team through code reviews, pairing, and knowledge sharing
• Partner with product, platform, and data science teams to deliver high-impact features on tight timelines
• Influence technical direction across the Contributory Network initiative and the broader Data Acquisition organization

Must-Have Qualifications

Data Engineering & Pipelines

• 5+ years of professional software engineering experience with a strong focus on data engineering
• Proven track record of building and operating production data pipelines at scale
• Deep experience with Python and/or Java
• Hands-on expertise with data processing technologies: Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc
• Strong experience with streaming systems (Apache Kafka, Google Pub/Sub, or similar)
• Experience with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow)
• Solid understanding of data modeling, schema evolution, and data quality management
• Experience designing and operating large-scale ETL/ELT pipelines processing terabytes of data

Technical Leadership & Drive

• Demonstrated ability to drive complex technical initiatives end to end - from scoping through delivery
• Track record of operating with high autonomy and a bias toward action
• Ability to push through ambiguity, make pragmatic decisions under uncertainty, and unblock progress
• Experience influencing technical direction within a team or across teams
• Strong code review and technical mentorship skills
• Proven ability to balance quality with velocity - you ship, iterate, and improve

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships
• Strong communicator who can explain complex systems to diverse audiences
• Entrepreneurial mindset - comfortable pioneering new capabilities and wearing multiple hats

Nice to Have

• Experience with Kubernetes (GKE/EKS) for running distributed workloads
• Familiarity with multi-cloud environments (GCP + AWS)
• Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines
• Experience with Terraform or infrastructure-as-code
• Knowledge of data integration patterns with CRM systems, email providers, or recording platforms
• Exposure to AI/LLM-based data processing approaches
• Experience in a B2B data company or data-as-a-product environment
• Experience with Apache Spark at expert level

What Sets This Role Apart

This isn't a role where you maintain existing systems and wait for tickets. The Contributory Network is a greenfield strategic initiative - you'll be building foundational infrastructure that directly powers intelligence products worth six figures from consulting firms, products that literally cannot exist without the data platform you build.

We need someone who goes through walls, not around them. Someone who sees a blocker and finds a way. Someone whose default mode is action, not analysis paralysis.

Why This Role Matters

The Contributory Network is ZoomInfo's strategic moat. It's how we pull away from competitors permanently by harnessing first-party data from thousands of companies to create intelligence no other source can offer. The data pipelines you build will power performance benchmarking, buyer committee intelligence, market timing signals, verified intent scoring, and fraud prevention - all at scale.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to define how contributory data acquisition is done at ZoomInfo is yours to shape.

#LI-AR2

#LI-Hybrid

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s newly renovated game development studio in Andover, MA.

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BB1

FEQ227R255

Mission

The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks' Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers' most critical business challenges across Financial Services sub-verticals.

This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks. 

The Impact You Will Have

• Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)
• Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry  assets, and determine prioritization of asset creation including build-vs-partner decisions
• Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations 
• Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy
• Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates
• Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.

What We Look For

• Technical Expertise: 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP)
• Deep domain expertise in Financial Services — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)
• Proven ability to develop and execute industry-specific GTM strategies — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas
• Cross-Functional Partnerships: Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator
• Leadership & Enablement: Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques).
• Excellent communication and storytelling skills — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers
• Education: Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)

FEQ427R309

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ227R17

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

FEQ227R259

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 8+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R208

Candidates in the listed region are encouraged for this role, we are open to remote candidates with a preference in the North East or Midwest at one of our office hubs.  

Mission

Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of Databricks’ Regulated Industries Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
• You will establish relationships across the business to make your customers and team successful
• You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
• You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
• Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

SLSQ127R619

As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

SLSQ327R3

As a Strategic Enterprise Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• Greenfield + Hunter Sales Experience
• 6+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ127R319

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Ability to travel up to 30% when needed

FEQ227R119

As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
• Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling large analytical data workloads in the cloud that are performant and cost-effective
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools
• Experience migrating on-premise EDW workloads to the public cloud
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL and Python, Scala, or Java
• Experience with the AWS, Azure, or GCP clouds
• 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 2 years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• Can travel up to 30% when needed

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification

FEQ127R13

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 10+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

RDQ127R133

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Performance Engineering team works closely with multiple teams across the company to evaluate the performance of products and features, identify performance bottlenecks, and partner with engineers to solve performance and scalability issues. This implies, among other things, setting performance targets for various software releases, guiding teams to develop performance benchmarks, running competitive benchmark analysis for different Databricks products, doing deep dive analysis to identify performance issues and fix them. As the Sr. Engineering Manager, you will build partnerships with various engineering organizations, drive performance and scalability projects across these teams to deliver the fastest and most cost effective solutions in the market.

Key Responsibilities

• Technical Leadership: You will lead and guide the team to Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved.  
• Team Development: You will oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
• Cross-Functional Collaboration: Work closely with product and infrastructure teams to align strategy, execution, and roadmap in alignment with organizational goals and priorities.

What We Look For

• 5+ years experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions. 
• Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.
• At least  3 years of experience in managing top-tier engineering teams
• BS in Computer Science (Masters or higher level of education preferred)
• Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are looking for a Staff Software Engineer to join the Orders Cloud Sync Team.

On the Orders Cloud Sync Team, our mission is to provide a state of the art platform for processing and synchronizing changes to orders that enables Toast to build complex and customizable workflows for our customers.

As a Staff Software Engineer on this team, you’ll play a key role in designing and implementing new features, evolving our architecture and tooling to ensure efficient high-quality delivery, and working with many other Toast R&D teams to bring high-visibility product experiences to life, ensuring that over 1 billion order changes per week across over 150,000 customers are processed quickly and accurately.

A day in the life (Responsibilities)

• Design, build, deploy, and maintain highly resilient and scalable systems that are critical to our customers’ success
• Lead complex projects that span multiple teams to improve functionality and reliability for our customers
• Design solutions that anticipate and accommodate future needs while considering tradeoffs
• Effectively communicate technical direction, guide our team through execution while driving team quality practices
• Act as a force multiplier in improving engineering productivity
• Diagnose performance bottlenecks and implement optimizations
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• You are respectful, empathetic, and humble
• You have experience presenting complex project plans and helping teams realize them
• You have experience shipping complex mission critical production services
• You have ownership over complex high-scale systems and experience scaling distributed systems
• You have a growth mindset with an emphasis on improving yourself and your functional area
• You are viewed as a leader in your functional area and are trusted to make technical decisions that impact short and long term business objectives

Our Tech Stack

Our products run on a stack that ranges from guest and restaurant-facing Android tablets, to backend Kotlin and Java services, to internal, guest-facing, and restaurant-facing web apps. Our backend services follow a microservice architecture written using Kotlin/Java and DropWizard; we use AWS extensively, ranging from DynamoDB to RDS to Lambda. We have our own platform for dealing with user management, canary deployments, and robust load balancing. We store data in a set of sharded Postgres databases and utilize Apache Spark for large scale data workloads including query and batch processing. The web front-end is built using React and ES6. Our main point of sale application is an Android application written in Java and Kotlin. For data between tablets and our cloud platform, we rely on Pulsar event driven architecture along with some RabbitMQ clusters as well as direct tablet communication to the back end.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

Staff Data Scientist, Graph ML

About Us Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine built from the ground up. Valo hires the best and gives them first-class training and support. We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

As Staff Data Scientist, Graph ML, you will develop and deploy graph ML solutions to synthesize and extract novel insights from Valo data in the context of a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs, to drive compute-enabled biological hypothesis generation. Our innovative platform leverages advanced computational techniques, starting with patient data, to bring better medicines to patients, faster. You will be responsible for developing and delivering graph ML and network biology-based analyses that generate and support drug target hypotheses on the path to discovery of new medicines. You will collaborate closely with a diverse group of data scientists and biologists to enable the contextualization of predicted drug targets within relevant patient subpopulations. You will also be accountable for communicating methodological approaches and key results to internal and external cross-functional stakeholders. Additionally, you will work with other data scientists, software engineers, and data engineers to continue building and improving Valo’s integrated graph platform to accelerate insights across multiple projects and applications.

A successful candidate brings deep technical expertise in graph machine learning, network analytics, and modern data science best practices, along with experience in biology research in the context of drug discovery, and curiosity and excitement to learn.

What You’ll Do…

•  Lead the design, implementation and application of graph ML and network biology approaches to target discovery from RWD and multi-omic datasets.
• Prototype new approaches aimed at enhancing and improving Valo’s graph platform, seeking out new scientific opportunities to increase the team’s impact.
• Work with world-class engineers to ensure that graph methodologies, graph construction, and underlying data are robustly integrated, to develop generalizable solutions to core scientific problems.
• Apply your technical knowledge and intuition to break down large problems into solvable pieces. Time is limited; you’ll need to prioritize which problems are critical-path today from those that can wait.
•  Be an agile and pro-active Data Science team member, providing regular updates on your work, and input into the work of your colleagues; championing data science best practices; participating in code, design, and analysis review.

What You Bring…

•  MS or PhD in a quantitative field with extensive experience at the intersection of machine learning and graph analytics
•  Experience in healthcare, medicine, molecular biology, computational biology, or life sciences.
•  Advanced knowledge of and experience with graph ML techniques such as Graph Neural Network (GNN) models applied to link prediction, node classification, and other biomedical-relevant computational tasks, as well as related explainability methods
• Experience or general knowledge of knowledge-graph building and graph databases
•  Familiarity with general graph algorithms and relevant Python libraries
• Strong experience in Python and machine learning and/or deep-learning frameworks (e.g., pytorch)
• Experience with data science best practices (data provenance, code versioning, reproducibility, git, etc), large-scale data analytics engines (e.g., Spark or Dask), and working in cloud environments (e.g., AWS)
• Strong data visualization, analytical, problem-solving, and communication skills, with demonstrated ability to condense, summarize, and synthesize results into informative and actionable presentations to experts from different fields.

Nice to have…

•  Experience with traditional drug discovery and development processes and approaches
• Domain expertise in neuroscience, immunology, and/or cardio-metabolic biology
•  Knowledge of related data science domains, including statistical genetics, multi-omics & real-world evidence