THE ROLE

As a Sr. Finance Manager, you will be the strategic financial backbone of our Marketing organization, transforming complex data into a growth engine. You will partner directly with senior Marketing leaders to optimize global investments, ensuring every dollar fuels our mission to dominate the market. By bridging the gap between high-level strategy and operational rigor, you’ll drive the financial discipline and cross-functional collaboration that sustains our competitive edge.

WHAT YOU'LL DO

• Lead Strategic Planning: Architect the Annual Operating Plan (AOP) and monthly close cycles, delivering executive-ready narratives that guide global investment shifts and ensure financial predictability.
• Advise Executive Leadership: Act as a primary finance business partner to Marketing leaders, utilizing sophisticated scenario modeling to influence high-stakes trade-offs and maximize program ROI.
• Drive Financial Governance: Establish and govern robust processes for accruals and budget management, ensuring total alignment between marketing strategy, departmental spend, and corporate accountability.
• Modernize Insights: Identify and implement process improvements using data visualization tools to translate complex spend patterns into clear, actionable business intelligence for cross-functional stakeholders.

WHAT YOU BRING

• Strategic Finance Expertise: Extensive experience leading complex FP&A cycles and financial planning (preferrably supporting Marketing, Sales, or similar Go-to-Market functions) with a focus on outcome-based budgeting and investment prioritization. 
• Executive Influence: Exceptional communication skills and the ability to act as a trusted advisor to senior stakeholders, translating financial data into compelling strategic recommendations.
• Analytical Strength: Financial modeling and proficiency with data systems (such as SQL, Snowflake, Tableau, or equivalent) to evaluate program performance and automate reporting workflows.
• Operational Ownership: A proactive mindset for managing financial governance and cross-functional processes, with the ability to operate independently in a fast-paced, high-visibility environment.
• We are primarily an in-office environment and therefore, you will be expected to work from the Chicago, IL, New York, NY, Raleigh, NC, or Santa Clara, CA office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE #LI-KQ1

Your Opportunity

We are seeking a hands-on Data Engineer to design, build, and maintain reliable ELT pipelines and production-grade analytics models in Snowflake.

This role requires strong SQL expertise, deep DBT experience, and demonstrated ability to independently build and troubleshoot end-to-end data pipelines — from ingestion (APIs, change data capture) through transformation and BI consumption.

The ideal candidate takes ownership of data systems, proactively identifies failure points, and delivers production-ready solutions without sustained oversight.

Your Responsibilities

ELT Pipeline Development

• Design and implement end-to-end ELT pipelines into Snowflake.
• Build and maintain ingestion pipelines from:
  • Third-party APIs
  • SaaS platforms
  • Internal application databases
• Implement and maintain Change Data Capture (CDC) processes.
• Ensure incremental loading, idempotency, and data consistency.
• Diagnose and resolve ingestion failures independently.

Data Modeling & Transformation (DBT)

• Design layered DBT models (staging, intermediate, marts).
• Write high-quality, performant SQL transformations.
• Implement incremental models and testing strategies.
• Optimize transformations for cost and performance in Snowflake.
• Ensure transformations are production-ready and validated prior to deployment.

Data Quality & Monitoring

• Implement data validation and anomaly detection checks.
• Design monitoring around pipeline failure modes.
• Perform structured root cause analysis for data discrepancies.
• Ensure production datasets are complete, timely, and trustworthy.

Production Ownership

• Drive work from design through deployment.
• Validate outputs prior to release.
• Monitor deployed pipelines and models.
• Proactively address data gaps or inconsistencies.
• Document assumptions, transformations, and dependencies clearly.

BI & Collaboration

• Partner with analytics and business stakeholders to translate requirements into scalable data solutions.
• Support Looker semantic modeling and dashboard reliability.
• Communicate technical tradeoffs clearly and concisely.

The responsibilities listed above may not be all inclusive.

Qualifications

• 3–6 years of experience in data engineering or analytics engineering.
• Advanced SQL proficiency (window functions, performance tuning, complex joins).
• Hands-on experience building DBT models in a production environment.
• Experience working with Snowflake or similar cloud data warehouse.
• Experience building and maintaining ELT pipelines.
• Experience implementing Change Data Capture (CDC).
• Experience integrating and ingesting data from external APIs.
• Demonstrated ability to independently diagnose and resolve pipeline and data quality issues.
• Experience deploying production-ready data assets with minimal oversight.

Preferred Qualifications

• Experience with Git-based workflows and CI/CD (e.g., GitHub Actions, dbt Cloud).
• Experience designing data monitoring frameworks.
• Experience with Looker or similar BI tools.
• Familiarity with orchestration tools.

What We're Looking For

We value engineers who:

• Take full ownership of data systems.
• Think critically about edge cases and failure modes.
• Identify problems before stakeholders do.
• Drive initiatives to production completion.
• Communicate clearly and proactively.
• Understand that reliability is as important as functionality

Operational Details

• Job location is based at Scion headquarters in Chicago, IL
• Working hours are general daytime business hours

Your Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternity Leave
• FLSA Status
• Discretionary annual EOY bonus
• Paid Time Off

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

The Field Analytics Team

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is the primary engine for strategic analysis, enabling our leaders to make evidence-based decisions that determine the trajectory of Okta’s growth.

Manager, Field Analytics Opportunity

We are looking for a Manager, Field Analytics to serve as a strategic partner of our Solutions Engineering and Partner organizations. You will transform complex data into actionable strategies, identifying key revenue drivers and building scalable analytical frameworks that directly influence Okta's strategic direction.

You will act as the primary liaison between our data infrastructure and our most technical go-to-market branches. Your mission is to build scalable, flexible reporting that drives proactive insights that optimize technical sales productivity and accelerate partner-led growth while championing the adoption of emerging AI capabilities. 

Impact & Responsibilities:

• Strategic Partnership: Act as a dedicated analytics lead for the Pre-Sales and Partners operations and leadership teams. Develop deep relationships to understand their business rhythms and operational needs, translating complex business questions into analytical frameworks.
• AI Readiness & Innovation: Lead the "AI readiness" initiative for field data. This includes exploring AI solutions to help pre-sales and partner teams drive growth, document processes, and brainstorm innovative ways to use AI tools for internal productivity.
• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets. You will work in close partnership with our offshore delivery team to progress work faster and scale foundation reporting while you focus on high-complexity strategic projects.

Required Skills & Qualifications: 

• 6+ years in an operational and analytical capacity (Sales Operations, Business Intelligence, or Revenue Analytics), preferably within a fast-paced SaaS environment.
• Expert-level proficiency in SQL (Snowflake), BI Visualization tools (Tableau), and CRM data (Salesforce).
• Proven ability to build advanced analytical models (e.g., productivity modeling, variance analysis) and high-visibility dashboards.
• Ability to look beyond the "what" to the "why" and "so what," providing actionable recommendations that change business behavior.
• Exceptional written and verbal communication skills, with a proven ability to distill complex technical findings into strategic narratives for senior executives.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global delivery model.

Preferred Qualifications: 

• Track record of experimenting with AI tools (e.g., Gemini, ChatGPT, Claude Code) or implementing AI-based workflows to optimize data modeling and automate documentation.
• Proficiency with scripting languages (Python) and modern data modeling frameworks (dbt).
• Prior experience supporting a Solutions Engineering or Partner/Channel organization.
• Experience in SaaS GTM.

#LI-MC1

#LI-Hybrid

#P5992_3420266

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $120,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Location: Remote (United States)

The Senior Client Partner is the face of OneSix to our most strategic accounts and the engine behind their growth. It’s an equal mix of being the client’s trusted advisor, OneSix’s business operator, and the internal champion who pulls together the best of our firm behind a single relationship.

You’ll own a portfolio of high-value accounts, protecting and expanding our footprint, opening new logos, and quarterbacking complex, multi-million-dollar data, AI, and governance engagements from first meeting to long-term partnership. You’ll work shoulder-to-shoulder with delivery leaders, our alliance partners (particularly Snowflake), and the executive team to ensure every engagement drives measurable outcomes for the client and OneSix.

The right person has lived this work before. You know how to earn a seat at the CIO, CDO, CMO, and line-of-business table. You can translate a client’s data strategy into a commercial plan and then land it. You’ve grown accounts from six figures into multi-million-dollar partnerships, and you’ve done it by being useful, honest, and genuinely excellent at what you do.

What You'll Do

• Own your book. Take full lifecycle ownership of a portfolio of strategic accounts — protecting revenue, driving organic growth, and opening new logos.
• Be the executive partner. Serve as the primary point of contact for our most valued clients, building deep, trusted relationships with CIOs, CDOs, CMOs, Chief Data & AI Officers, and line-of-business leaders.
• Build account plans that actually get executed. Design and run plans that expand OneSix's footprint across our AI, Data, and Governance offerings — and put numbers against them.
• Quarterback the big pursuits. Lead complex, multi-million-dollar opportunities from first conversation to signed SOW, pulling in solution architects, delivery leads, and partner resources as the moment requires.
• Co-sell with our partners. Partner closely with Snowflake, Informatica, AWS, Atlan, Sigma, and others to co-sell, co-develop, and co-deliver strategic opportunities.
• Drive the rhythm of the relationship. Lead executive-level QBRs, drive cross-sell motions, and keep a relentless focus on client outcomes and satisfaction.
• Protect engagement health. Partner with delivery leaders on scope, margin, utilization, and quality — and spot expansion opportunities before the client has to ask.
• Own the commercials. Shepherd SOWs, MSAs, pricing, and scope negotiations in partnership with delivery, legal, and finance.
• Know the client's business cold. Build deep fluency in each client's data and AI maturity, commercial priorities, and the executive-level outcomes they're measured on.
• Represent OneSix in the market. Show up at client events, conferences, and partner forums as a firm ambassador.

What You'll Bring

• 10+ years in consultative sales, client partnership, or account leadership. Agency or SI experience is welcome.
• A documented track record of owning and exceeding multi-million-dollar revenue targets in a complex, solution-sales environment.
• Demonstrated ability to architect and close large, multi-workstream engagements for midsize to enterprise clients.
• Deep experience building C-suite relationships — particularly with CIOs, CDOs, CMOs, and Chief Data & AI Officers — and a genuine interest in how data and AI create enterprise value.
• Commercial range: you can lead discovery, shape a pursuit, write a compelling proposal, negotiate a complex SOW, and hold a hard conversation when delivery pressure runs high.
• Exceptional written, verbal, and visual communication skills, with real comfort presenting to executive audiences and authoring executive-ready materials.
• A collaborative operator's mindset — you partner naturally with delivery, marketing, alliances, and leadership to move the firm forward, not just your own book.
• The professionalism, honesty, and integrity we expect of everyone who represents OneSix to a client.
• Bachelor's degree (BA/BS) required.
• Willingness to travel as needed to clients, partners, and OneSix events.

Benefits

• Competitive base salary with uncapped variable.
• Company-paid medical, vision, dental, and wellness benefits for employees.
• Company-provided home office equipment.
• Flexible vacation and sick days.
• A team-oriented, supportive working environment where senior people actually have each other's backs.
• Company-sponsored events and swag (yes, the good kind).

Compensation

This position offers a base salary in the range of $175,000–$250,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Position Summary:

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment. 

Responsibilities: 

• Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs.
• Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions.
• Execute high-impact, cross-functional data initiatives from requirements through delivery.
• Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions.
• Support BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and documented data.
• Support enterprise data governance by adhering to data standards, definitions, and stewardship practices.
• Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes. 
• Ensure data processes align with operational risk, audit, and regulatory expectations.
• Participate in firm-wide initiatives such as system implementations and data integrations.
• Participate in agile planning, backlog refinement, and prioritization of DataOps initiatives.
• Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement. 

Qualifications: 

• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field.
• 4-6 years of experience in investment management, financial services, or a data intensive operations environment.
• Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau).
• Advanced proficiency with SQL and Python.
• Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value.
• Demonstrated ability to analyze data issues, identify root causes, and drive cross-functional resolution.
• Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities.
• Strong communication skills with the ability to explain complex data concepts to nontechnical stakeholders.
• Familiarity with Agile methodology and project management practices is a benefit.
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus.  

We are seeking a highly motivated, technically adept Senior Trade Support Engineer. In this high-impact role, you’ll collaborate directly with traders and developers to troubleshoot critical live trading issues, manage complex incidents, and ensure the stability and resilience of production trading systems. You will be relied upon for swift problem diagnosis under pressure, rapid resolutions to minimize system downtime, and clear, concise communication across both technical and non-technical teams. This is an individual contributor role for a seasoned engineer who relishes autonomy, thrives in urgent situations, and is eager to make meaningful contributions to a cutting-edge trading operation. 

WHAT YOU’LL DO

• Troubleshoot and resolve live trading system issues, minimizing downtime during outages and communicating status updates to stakeholders. 
• Monitor real-time production environments, respond to anomalies, and escalate as needed. 
• Automate workflows and manual processes using Linux, Python, and Bash to improve operational efficiency. 
• Collaborate directly with traders and developers to relay critical system and software issues, and assist with patching and recovery. 
• Contribute to process improvements, documentation, and knowledge-sharing materials (runbooks, FAQs, retrospectives). 
• Own incident response, follow up on lessons learned, and drive continuous improvement of support operations. 

WHAT WE’RE LOOKING FOR

• Advanced knowledge of Linux; strong troubleshooting experience via CLI. 
• Experience working within the options space and familiar with one core market CME-Cboe.
• Proficient in Python and Bash scripting for automation. 
• Experience querying databases (SQL, Snowflake). 
• Prior experience supporting trading systems in a high-pressure, fast-paced environment. 
• Excellent problem-solving and communication skills; comfortable working with technical and non-technical teams. 
• Detail-oriented with a proactive, ownership-driven approach to incident management and process improvement. 

REQ ID FEQ327R16

Location:  Central US

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 help guide 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, GCP).
• 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, Azure, or GCP Certification.

REQ ID FEQ227R8

Location(s): Central United States. (Texas, Illinois, Kansas, Missouri, Oklahoma, Iowa, Arkansas)

We are looking for pre-sales professionals who have a successful track record helping 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.  This position is within our Manufacturing Vertical on our Hunter Team.  

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

Data Analyst – Inspire11 
 

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.  

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role:
As a Data Analyst, you will serve as a bridge between data and decision-making. You’ll uncover insights, design data products, and help clients realize value through analytics. Your responsibilities will include: 

• Uncovering client needs through stakeholder interviews, process mapping, and exploratory data analysis.
• Assessing and interpreting raw data sets to evaluate trends, data quality, performance metrics, and the accuracy of business logic.
• Designing and building impactful dashboards and reports using tools like Power BI, Tableau, or Looker.
• Profiling and interpreting data to identify patterns and translate them into actionable, insight-driven recommendations.
• Leveraging cloud data platforms (e.g., Snowflake, Databricks, Redshift, Synapse) to access and analyze data at scale.
• Interfacing directly with clients throughout the project lifecycle—gathering requirements, sharing insights, and iterating on deliverables.
• Collaborating cross-functionally with data engineers, architects, and solution owners to deliver holistic solutions.
• Facilitating Agile ceremonies and co-creation workshops with clients to shape iterative, high-impact solutions.
• Exploring opportunities to apply AI and GenAI to automate insights, accelerate reporting, or enhance decision intelligence. 

Tools for success:
We’re looking for analysts who combine technical acumen with consulting savvy and a growth mindset. Ideal candidates bring: 

• 2+ years of consulting experience with a focus on data analysis, BI, or analytics strategy.
• Strong SQL skills, with experience analyzing large datasets and building queries to uncover trends, metrics, and data relationships.
• Hands-on experience with data visualization tools such as Power BI, Tableau, or equivalent.
• Exposure to modern cloud data platforms, including Snowflake, Databricks, Redshift, or Synapse.
• Familiarity with AI and machine learning concepts—and a willingness to explore how GenAI (e.g., ChatGPT, Copilot) can support faster analysis and insight generation.
• Excellent communication and storytelling skills, including experience presenting findings to external stakeholders.
• Comfort in dynamic, cross-functional environments, with an agile mindset and a collaborative working style.
• This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

 Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

Data Architect – Inspire11 
 

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.  

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role:
As a Data Architect, you will design the technical backbone of our clients’ data ecosystems—enabling scalable analytics, AI, and automation. You’ll lead the architecture of modern data platforms, shape technical strategy, and ensure secure, reliable delivery across complex environments. 

• Design and implement cloud-native data architectures across AWS, Azure, GCP, and Databricks to support advanced analytics and AI solutions.
• Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python, connecting structured and unstructured data sources into unified models.
• Build and optimize enterprise data platforms, including data lakes, warehouses (Snowflake, Redshift, Synapse, BigQuery), and semantic/dimensional models.
• Ensure data privacy, security, and compliance, incorporating masking, tokenization, retention policies, and metadata-driven governance frameworks.
• Implement infrastructure-as-code, CI/CD pipelines, and testing frameworks to drive scalable, automated, and resilient deployments.
• Conduct deep data profiling and validation, shaping architectural decisions based on source quality, lineage, and business context.
• Translate business needs into scalable designs, using source-to-target mappings, conceptual wireframes, and technical documentation.
• Identify opportunities to integrate AI and machine learning, leveraging practical use cases such as intelligent data quality, metadata automation, and ML feature stores.
• Support client engagement and pre-sales, presenting architectural strategies, influencing decisions, and mentoring delivery teams. 

Tools for success:
The ideal candidate combines deep technical expertise with a strategic mindset and the ability to lead clients and teams through complex transformations. You should bring: 

• 8+ years of experience in data architecture, data engineering, or enterprise cloud platform design.
• Advanced proficiency in SQL and Python, with hands-on experience building scalable ELT/ETL solutions.
• Deep familiarity with cloud data platforms, including Snowflake, Databricks, Redshift, Synapse, BigQuery, and related tools.
• Expertise in data modeling (relational, dimensional/star schema), metadata management, and performance optimization.
• Strong understanding of DevOps and infrastructure-as-code, including Git, Terraform, CI/CD pipelines, and automated testing.
• Working knowledge of AI/ML, with the ability to identify where intelligent automation or predictive modeling can enhance architectural solutions.
• Excellent communication and consulting skills, with the ability to explain complex technical designs to non-technical stakeholders.
• Proven leadership in technical strategy, solution design, and team mentorship in a dynamic consulting environment.
• This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.