Business Applications Engineer
Brentwood, TN

Hybrid - 3 days onsite/2 days virtual

About the Role

The Business Applications Engineer is on the Business Systems team and partners with others on the Business Systems, Data & Analytics, IT, and other Business teams (Operations, Patient Access, Billing, Clinical/Pharmacy, etc.) around the organization to develop, test, and deploy automated event/timed based processes that support our core practice management system (hosted in Azure) and our other core business systems. This role is vital to the success of enhancing current business processes to be more effective through technology.

What You'll Do

• Partner with Business Systems to lead active development of our workflow management tech processes in Azure Cloud that will drive workflows in our core practice management system, Unlimited Financials.
• Facilitate & lead unit testing of developed logic within the Business Systems unit to prepare for UAT.
• Partner with Business Systems leaders & analysts on intake requests, requirement gathering, scoping, and iterative UAT sessions to finalize the new build or enhancement.
• Develop a standardized troubleshooting, bug fixes, & optimization process internally for the existing workflow management technical processes.
• Develop processes for workflow & security monitoring to mitigate exposure & downtimes.
• Develop application downtime processes & recovery plans.
• Become the technical subject matter expert on all existing/future workflow tech process in our Azure environment for while mentoring other junior members on the team to develop their skills in the area.
• Document & enforce a strict SDLC process for our workflow management process and any other processes that fall under the role, including development, testing & deployments.
• Become the Azure Cloud Applications subject matter expert of the company beyond our workflow management process to promote other areas of optimization leveraging Azure Cloud Applications & Services.

What We're Looking For

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Cloud Computing, or a related technical field or equivalent years of relevant experience.
• Minimum of 3–5 years of experience designing, developing, or supporting applications and automated workflows within a Microsoft Azure cloud environment.
• Demonstrated experience developing and maintaining Azure-based automation and integration solutions, including services such as Azure Logic Apps, Azure Functions, and related Azure application services.
• Experience working with Microsoft SQL Server or other relational databases, including writing queries and supporting data integrations.
• Experience working with data and integration formats such as JSON and XML and integrating systems using APIs or web services.
• Working knowledge of at least one modern programming language such as Python, C#, JavaScript, F#, or Java.
• Experience participating in software development lifecycle (SDLC) processes including requirements gathering, development, testing, deployment, and troubleshooting.

Preferred Experience:

• Experience with Unlimited Financials (UF) is a plus
• Microsoft Azure Developer Associate certification (preferred or ability to obtain within a defined timeframe).
• Microsoft Azure DevOps Engineer Expert
• Microsoft Azure Solutions Architect Expert

Core Competencies:

• Analytical problem solving and troubleshooting
• Attention to detail and quality assurance in system development
• Clear technical documentation and communication skills
• Ability to collaborate with cross-functional technical and business teams
• Ability to manage multiple technical priorities and support operational needs

Functional & Technical Skills:

• Azure Cloud application development and workflow automation
• Integration of enterprise systems through APIs and automation tools
• SQL database querying and data integration
• System monitoring, troubleshooting, and performance optimization
• Documentation and adherence to structured development and deployment processes

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

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Java Developer 

We’re looking for a Java Developer to design, build, and scale backend services that power our products and internal platforms. You’ll work closely with product, design, and data to ship reliable features, improve performance, and raise our engineering bar.

About the role

• Build and operate backend services and REST APIs in Java (preferably Java 17+) using Spring Boot.

• Contribute across the lifecycle: discovery, technical design, implementation, testing, deployment, and support.

• Improve reliability, security, and observability as part of how we build — not as an afterthought.

What you’ll do

• Design, implement, and maintain microservices and REST APIs with Spring Boot.

• Write clean, maintainable, and well-tested code (JUnit 5, Mockito), and review peers’ code for quality and clarity.

• Model data and optimize queries in SQL (PostgreSQL/MySQL); leverage caching (e.g., Redis) for performance.

• Build event-driven features using messaging (e.g., Kafka or RabbitMQ) where it fits the problem.

• Instrument services with logs, metrics, and traces (OpenTelemetry/Prometheus/Grafana) and resolve production issues with data.

• Apply secure-by-default practices (OAuth2/OIDC, secrets management, OWASP Top 10 mitigations).

• Automate builds and releases via CI/CD (GitHub Actions/Jenkins/CircleCI); containerize with Docker and deploy to Kubernetes.

• Partner with product and design to refine requirements and break down work into iterative deliveries.

• Author and review concise technical design docs; participate in architecture discussions.

• Take ownership of services in production, including participating in on-call rotations where applicable.

What you’ll bring

• Proficiency in Java and the Spring ecosystem (Spring Boot, Spring Data, Spring Security).

• Hands-on experience building and operating microservices and REST APIs in production.

• Strong grasp of relational data modeling and SQL; familiarity with performance tuning.

• Working knowledge of cloud platforms (AWS/GCP/Azure) and basic infrastructure concepts.

• Confidence with Git workflows, code reviews, and trunk- or GitFlow-based development.

• Solid testing practices: unit, integration, and contract testing; comfort with test automation.

• Clear communication, collaborative approach, and a practical mindset focused on outcomes.

Nice to have

• Event-driven architecture with Kafka; stream processing patterns.

• Domain-driven design (DDD) and pragmatic service boundaries.

• Deeper observability (SLOs, RED/Golden signals, alert design) and production readiness checklists.

• Security fundamentals: OAuth2, JWT, mTLS, and dependency vulnerability management.

• Kubernetes operations, Helm, and infrastructure-as-code (e.g., Terraform).

• Experience with feature flags, gradual rollouts, and experimentation.

• Exposure to GraphQL or gRPC; basic scripting in Python/Go for tooling.

How we work

• Lightweight Agile with two-week sprints, async-friendly communication, and written decision records (RFCs).

• Ship iteratively behind feature flags; measure impact and learn quickly.

• Remote-friendly collaboration with clear ownership and frequent demos.

What success looks like (30/60/90)

• 30 days: Local dev environment set up. Shipped a small change. Contributed to code reviews and on-call shadowing.

• 60 days: Delivered an end-to-end feature. Improved tests and observability for a service you touch.

• 90 days: Led a scoped design/RFC. Reduced toil or improved performance/reliability on a critical path.

Qualifications

• Typically 3+ years of professional experience (or equivalent proficiency) building backend services with Java and Spring Boot.

• Demonstrated experience owning services in production.

Location and work arrangement

• Open to [Remote/Hybrid/Onsite]. Working hours aligned to [Time Zone/Region]. Some team ceremonies may fall within core hours.

Compensation and benefits

• Base salary range: Senior Level / $120-$150k.

• Equity/bonus: [If applicable].

• Benefits: [Healthcare, retirement, paid time off, parental leave, learning budget, home office stipend, etc.].

Interview process

• Recruiter screen (role fit, logistics).

• Hiring manager conversation (experience, collaboration, delivery).

• Technical deep dive (Java/Spring, APIs, data modeling).

• Systems design interview (architecture, trade-offs, scalability).

• Team panel and values interview.

• Offer and references.

Equal opportunity

We’re an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of any protected characteristic. If you need a reasonable accommodation during the application or interview process, please let us know.

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

The Role

The Service Delivery Manager acts as the client’s advocate, ensuring services and products meet expectations while driving adoption and performance. They monitor delivery quality, resolve issues, and implement improvements at both operational and product levels. Through proactive communication and governance, they build trust within the client’s organisation, achieve customer satisfaction, and position the organisation as a strategic partner.

Responsibilities

• Client Relationship Management
  • Manage Client Expectations: Serve as the primary point of contact for clients, ensuring that their expectations align with service offerings.
  • Service Reviews and Reporting: Conduct regular service reviews with clients to discuss product performance, identify areas for improvement, and address any concerns.
  • Client Satisfaction: Monitor client satisfaction metrics, handle complaints, and proactively address issues to enhance the overall client experience.

• Service Performance and Quality Assurance
  • Service Level Agreements (SLAs): Develop and track that all services meet agreed SLAs and key performance indicators (KPIs), reporting any deviations to clients and management.
  • Continuous Improvement: Identify opportunities for process improvements and implement changes to enhance service delivery quality.
  • Performance Tracking: Regularly monitor, analyse, and report on service delivery metrics, identifying trends or issues that may impact service quality.
  • Compliance Assurance: Drive and contribute in compliance requirements and questionnaires raised by clients with regards to the Product offering.
  • Contract Renewal and Negotiations: Support contract renewals, negotiating service terms to meet both the business and the client needs.

• Incident and Problem Management
  • Issue Resolution: Coordinate and oversee the resolution of incidents, ensuring timely response and effective communication with clients.
  • Root Cause Analysis (RCA): Coordinate and oversee incident review sessions with internal teams. Set out clear improvement plans to avoid future recurrence. Discuss the detailed RCA with clients to ensure alignment with relevant feedback.
  • Incident Management: Lead response efforts during service disruptions, maintaining client communication and coordinating with technical teams to restore normal operations.

• Coordination with Business, Technical and Product Teams
  • Collaboration with Teams: Liaise with business, product and development stakeholders to ensure smooth client product rollouts and track performance.
  • Change Management: Oversee the implementation of product updates or service changes (hosted or client on-prem), managing client communication and post-implementation support.
  • Technical Escalations: Act as an escalation point for complex technical issues, coordinating with engineering and hosting teams to ensure timely resolution.

• Process Development and Standardisation
  • Service Delivery Processes: Develop and document service delivery processes, ensuring they are efficient, scalable, and aligned with best practices.
  • Standard Operating Procedures (SOPs): Create and maintain SOPs to ensure consistency in how services are delivered and to facilitate training for team members.
  • Automation and Innovation: Identify areas for automation within the service delivery realm to increase efficiency and reduce manual effort.

• Stakeholder and Executive Reporting
  • Executive Updates: Provide regular updates to senior management on service delivery performance, issues / risks, and improvement initiatives.
  • Dashboard and Report Creation: Design and scope dashboards and reports that highlight key service metrics for internal and external stakeholders.
  • Project Status Reporting and Handovers: For new implementations or upgrades, regularly update stakeholders on progress, risks, and issues to ensure timely delivery. Ensure smooth transition of projects into the wider operations team by adopting the standard way of working.

• Strategic Service Planning
  • Client Growth Support: Work closely with account management and sales teams to support client product adoption and growth, including scoping additional services or adjustments to meet evolving needs.
  • Long-Term Service Strategy: Develop and implement strategies to enhance the long-term quality and scalability of service delivery team and the wider operations team. 

Skills and Experience

Successful candidates for this role will generally possess the following qualifications and skills:

• Bachelor's Degree or equivalent.
• 5 Years of experience or more in managing relationships as a SDM or similar role, including contract negotiation, performance evaluation, and issue resolution. (Essential)
• Extensive experience in developing, negotiating, and managing SLAs to ensure that services provided meet or exceed agreed-upon standards.
• Strong background in managing and resolving incidents and problems related to clients or 3rd Party services, demonstrating the ability to minimize service disruptions effectively. (Essential)
• Analytical and problem-solving abilities to address service delivery issues and optimise performance.
• Strong leadership skills with the ability to lead cross-functional teams, foster collaboration, and drive service provider performance to achieve organizational objectives.
• Deep understanding of service management principles, frameworks (such as ITIL), and best practices to ensure the efficient and effective delivery of services. (Essential)
• Project Management experience to plan, organise, and coordinate teams, timelines, and deliverables.
• Strong verbal communication skills and the ability to influence team members and stakeholders.
• Experience in creating and delivering reports and presentations to clients.
• Experience with Hosted or SaaS offerings preferable in an AWS environment.
• Experience in EMV 3-D Secure and card-not-present (CNP) e-commerce environment (beneficial).
• Experience in a range of Authentication Products (In-App Auth, Fido, NIUSSD etc.) (beneficial)
• Experience in Mobile Application and SDK support to clients (beneficial).
• Expertise in Salesforce (beneficial). 
• Experience in Reporting tools like PowerBI, Tableau or similar.
• Experience in Monitoring and Fault-finding tools like Opsgenie, Prometheus, Kibana, Zabbix.
• Experience accessing and manipulating data using SQL or Python (beneficial).

Personality Attributes

• Ownership Mindset: Must have high degree of initiative and passion to improve the overall client engagement.
• Leadership Traits: Must be able to aid in advocating and driving an initiative to completion through professionalism, confidence and cooperation.
• Team Building Skills: Must be a collaborative team player.
• Business Acumen: Must have strong business acumen including the ability to (i) think strategically, frame for success and execute tactically; (ii) prioritize work effort; and (iii) deliver results over the short, medium and long term.
• Strong Problem-Solving Skills: Ability to identify a problem's root cause and identify the solution that will drive maximum impact.

About Truework

Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks, and more. We’re disrupting a $5B+ industry dominated by legacy incumbents and outdated processes. Within Checkr, Truework operates independently, allowing rapid iteration while leveraging the strengths and assets of the core business.

About the Role

This role sits on Checkr’s Operations Insights & Analytics team, directly supporting Truework’s operations team as its primary analytics partner. Truework’s operations are more complex than a typical help desk — and deeply understanding their processes will be central to your success in this role.

Truework already has some operations reporting and data infrastructure in place, but as the first dedicated analyst focused on this work, you’ll own the process of improving and expanding it. Some existing dashboards need to be rebuilt or consolidated, sources-of-truth established, and the team needs reliable performance & cost metrics. You’ll also contribute to the near-term migration from Looker to Omni Analytics.

The ideal candidate is someone who can context-switch between hands-on data work and strategic analysis, thrives in ambiguity, and is energized by making messy things clean. You should be someone who, when given a high-level goal, figures out what questions to ask, what data is needed, and what infrastructure would provide it — and then builds it.

What You’ll Do

Drive Analysis & Business Performance

• Build and maintain models for cost, headcount, and operational performance that inform leadership decisions across Truework operations
• Track and analyze team performance week-over-week, identifying trends, bottlenecks, and opportunities for efficiency gains
• Translate technical findings into clear recommendations for stakeholders at all levels, from operational teams to executive leadership

Build & Improve Reporting

• Define and standardize key operational metrics, working with stakeholders to ensure shared understanding of definitions and methodology
• Consolidate and rebuild existing dashboards, validating data accuracy and filling gaps in coverage
• Build production dashboards and self-service reporting in Omni Analytics, giving Truework’s operations teams reliable visibility into team performance

Strengthen Data Infrastructure

• Improve and expand existing data models to support reliable analytics across Truework’s operations
• Write and maintain dbt models, manage data pipelines, and work with raw database schemas to strengthen analytical foundations
• Identify and fix data quality issues — bad joins, missing records, misaligned definitions — before they become reporting problems
• Contribute hands-on to migrating Truework’s data infrastructure onto Checkr’s systems, working independently to navigate unknowns and solve technical problems as they arise

What You Bring

Required

• 5+ years of experience in analytics, data engineering, or a hybrid role — ideally in a high-growth or startup environment where you’ve had to build things from scratch
• Advanced SQL: complex joins, window functions, CTEs, query optimization. You should be able to navigate unfamiliar database schemas and figure out how data fits together.
• Hands-on experience with data modeling and pipeline tools (dbt, Airflow, or similar). You’ve built and maintained data models, not just queried them.
• Strong BI experience building production dashboards (Looker, Tableau, or similar). You know how to design reporting that’s actually useful, not just comprehensive.
• Comfort working in ambiguous environments with incomplete information. You don’t wait for perfectly defined requirements — you figure out what’s needed and start building.
• Strong communication skills: you can explain technical concepts to non-technical stakeholders and advocate for data quality and infrastructure investments
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Preferred

• Python for data manipulation, scripting, and statistical analysis
• Experience with data migration projects — moving data between systems, reconciling schemas, validating parity
• Domain experience in operations analytics, fintech, or verification/identity services
• Familiarity with version control (Git) and software engineering practices in an analytics context

What You Get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Unlimited PTO policy
• Monthly wellness stipend 

WHAT WE DO

Our AI and Technology consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

The ideal candidate’s experience may include but is not limited to the following:

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity, and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings