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Data Platform Engineering Manager Jobs in Washington

Hatch IT

Data Platform Architect

Falls Church, VA · On-site

$68 - $87.50/hr

Collaborate with engineers, data scientists, BI analysts, product managers, platform and security ... teams, and mission stakeholders to align architecture decisions with delivery priorities.

Hatch IT

Data Platform Architect

Falls Church, VA

$68 - $87.50/hr

Collaborate with engineers, data scientists, BI analysts, product managers, platform and security ... teams, and mission stakeholders to align architecture decisions with delivery priorities.

Hatch IT

Data Platform Architect

Falls Church, VA · On-site

$68 - $87.50/hr

Collaborate with engineers, data scientists, BI analysts, product managers, platform and security ... teams, and mission stakeholders to align architecture decisions with delivery priorities.

Real Soft, Inc.

Platform Engineer (1924)

Columbia, MD · On-site

... Data / Cloud technology. As a result, the candidate will be expected to work autonomously ... S. citizenship required. * 5+ years of experience in Platform Engineering or Software Development ...

Real Soft, Inc.

Platform Engineer (2391)

Columbia, MD · On-site

... Data / Cloud technology. As a result, the candidate will be expected to work autonomously ... S. citizenship required. * 9+ years of experience in Platform Engineering or Software Development ...

Real Soft, Inc.

Platform Engineer (1402)

Columbia, MD · On-site

... manage virtual infrastructure in the cloud. * Design and implement core architecture and ... S. citizenship required. * 5+ years of experience in Platform Engineering or Software Development ...

Real Soft, Inc.

Platform Engineer (3236)

Columbia, MD · On-site

... manage virtual infrastructure in the cloud. * Design and implement core architecture and ... S. citizenship required. * 5+ years of experience in Platform Engineering or Software Development ...

Real Soft, Inc.

Platform Engineer (2954)

Columbia, MD · On-site

... manage virtual infrastructure in the cloud. * Design and implement core architecture and ... S. citizenship required. * 9+ years of experience in Platform Engineering or Software Development ...

Syndicus, Inc.

Platform Engineer (7031)

Columbia, MD · Hybrid

$163K - $213K/yr

... Data / Cloud technology. As a result, the candidate will be expected to work autonomously ... S. citizenship required. * 9+ years of experience in Platform Engineering or Software Development ...

NuAxis LLC

Senior Data Platform Engineer

Washington, DC · On-site

$120K - $163K/yr

Position Overview The Senior Data Platform Engineer serves as a hands-on technical lead for the ... managed search services, and downstream partner APIs. * Kubernetes workload engineering - Own the ...

Umbra

Staff Data Platform Engineer

Reston, VA · On-site

$119K - $143K/yr

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... Experience with Infrastructure-as-Code, DevOps, Identity and Access Management, and Developer ...

Umbra

Staff Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... Experience with Infrastructure-as-Code, DevOps, Identity and Access Management, and Developer ...

Freddie Mac

Software Engineering Manager

Mclean, VA · On-site

Modernize data platforms and reduce manual dependencies to improve accessibility, operational ... As a Software Engineering Manager, you will collaborate closely with Product Owners and business ...

Freddie Mac

Software Engineering Manager

Mclean, VA · On-site

Modernize data platforms and reduce manual dependencies to improve accessibility, operational ... As a Software Engineering Manager, you will collaborate closely with Product Owners and business ...

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Data Platform Engineering Manager information

What does a data platform engineering manager do?

A Data Platform Engineering Manager leads teams responsible for designing, building, and maintaining the core infrastructure and tools that support data storage, processing, and analysis. They oversee the development of scalable and reliable data platforms, ensuring data is accessible, secure, and performant for various business needs. This role also involves collaborating with data engineers, analysts, and other stakeholders to align platform capabilities with organizational goals, as well as mentoring team members and managing project delivery.

What are the key skills and qualifications needed to thrive as a data platform engineering manager?

To thrive as a Data Platform Engineering Manager, you need deep expertise in data architecture, engineering best practices, and leadership, typically supported by a degree in computer science or a related field. Experience with big data technologies (such as Hadoop, Spark, or cloud data platforms), database systems, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are vital for building robust data infrastructure, leading effective teams, and ensuring data solutions align with business objectives.

What are some common challenges faced by data platform engineering managers when scaling data infrastructure, and how can they be addressed?

Data Platform Engineering Managers often encounter challenges such as ensuring data reliability, maintaining performance as data volume grows, and managing cross-functional stakeholder expectations. Addressing these challenges involves implementing robust monitoring and alerting, adopting scalable architectures like distributed data systems, and fostering clear communication between engineering, analytics, and business teams. Staying informed about industry best practices and encouraging continuous learning within the team can also help overcome scaling obstacles while supporting innovation.

What is the difference between Data Platform Engineering Manager vs Data Engineer?

AspectData Platform Engineering ManagerData Engineer
ResponsibilitiesOversees data platform architecture, manages teams, ensures platform scalability and reliabilityBuilds, tests, and maintains data pipelines and infrastructure
Required SkillsLeadership, data architecture, cloud platforms, team managementSQL, ETL, programming, data modeling
CertificationsCloud certifications, data management certificationsNone typically required, but data-related certifications are common
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on data pipeline development, coding, troubleshooting

The Data Platform Engineering Manager focuses on leading data platform teams and strategic architecture, while Data Engineers are primarily responsible for building and maintaining data pipelines. Both roles require technical skills, but the manager role emphasizes leadership and oversight.

What cities in Washington are hiring for Data Platform Engineering Manager jobs?

Cities in Washington with the most Data Platform Engineering Manager job openings:

Infographic showing various Data Platform Engineering Manager job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Platform Architect

Falls Church, VA • On-site

Hatch IT
11 - 50 employees
Learn more about Hatch ITexternal

$68 - $87.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

hatch I.T. is partnering with Expression to find a Data Platform Engineer. See details below:
About The Role:
Expression is seeking an experienced Data Platform Architect to provide architectural guidance, technical standards, and operational support for teams delivering secure, scalable data, analytics, and AI/ML solutions in mission environments.
The Data Platform Architect will work across engineering, data science, analytics, platform, and mission teams to guide implementation in Databricks and Palantir Foundry. This role will help delivery teams structure data pipelines, data products, analytics and ML workflows, and platform assets so solutions are consistent, reusable, governed, supportable, and production-ready.
The successful candidate will provide hands-on guidance spanning data integration, DataOps, DevOps, MLOps, governance, security, compliance, performance optimization, and platform operations while helping teams move solutions from prototypes into reliable production environments.
Location and Clearance:
  • Clearance: Secret/Top Secret clearance required
  • Location: Falls Church, VA

About the Company:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
Responsibilities:
  • Provide hands-on architectural guidance to teams implementing data pipelines, analytics workflows, data products, and AI/ML capabilities in Databricks and Palantir Foundry.
  • Guide selection and implementation of platform-native capabilities for data ingestion, transformation, orchestration, model execution, analytics, and data-product delivery.
  • Advise teams on appropriate use of Databricks, Foundry, and integrated cross-platform architectures.
  • Guide the transition of prototypes and notebook-based solutions into reliable, maintainable production workflows.
  • Establish and maintain technical standards for project structure, code organization, pipeline design, workflow orchestration, testing, metadata, lineage, documentation, and platform implementation.
  • Develop reusable templates, reference architectures, and implementation patterns that improve consistency and accelerate delivery.
  • Promote scalable approaches including medallion architecture, governed data publishing, reusable transformation logic, and shared analytics and ML components.
  • Conduct technical reviews and provide actionable guidance to improve scalability, maintainability, reliability, and supportability.
  • Guide CI/CD implementation for jobs, pipelines, notebooks, packaged code, models, and data products.
  • Establish operational practices for deployment, environment promotion, monitoring, alerting, rollback, release management, observability, lineage, and data-quality validation.
  • Promote reproducible MLOps practices for model training, validation, packaging, registration, deployment, monitoring, batch inference, and lifecycle management using MLflow, Databricks workflows, and related capabilities.
  • Design scalable ML inference approaches supporting production workloads and establish monitoring for model performance, data drift, and system health.
  • Support self-service ML capabilities that enable data scientists to efficiently deploy and monitor models.
  • Define integration patterns for onboarding data sources, managing schema evolution, and connecting Databricks and Foundry with enterprise systems, applications, data warehouses, streaming platforms, APIs, and BI tools.
  • Guide implementation of secure access controls, governed data sharing, metadata management, data catalogs, lineage, traceability, and audit-ready workflows.
  • Establish data-quality standards and automated testing approaches for analytical and ML workloads.
  • Partner with stakeholders to define data definitions, business logic, governance requirements, and compliant handling of structured and unstructured data.
  • Advise teams on Spark optimization, workload design, workflow dependencies, storage and compute utilization, and other platform-performance considerations.
  • Identify and help resolve architecture, integration, reliability, and performance issues affecting production jobs, data products, and operational analytics.
  • Design data models supporting machine learning, analytics, and business intelligence requirements, including integrations with Tableau, Power BI, and Qlik Sense.
  • Build and support integrations with MAVEN Smart Systems/Palantir Foundry environments and other enterprise systems.
  • Collaborate with engineers, data scientists, BI analysts, product managers, platform and security teams, and mission stakeholders to align architecture decisions with delivery priorities.
  • Participate in design sessions, technical reviews, sprint activities, demonstrations, and cross-team problem solving.
  • Maintain technical documentation supporting implementation consistency, reuse, operational handoff, and long-term supportability.

Qualifications:
  • 5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.
  • Strong experience with Python, SQL, PySpark, and Spark SQL for scalable data-processing workflows.
  • Experience with Palantir Foundry or comparable enterprise analytics platforms, including pipeline development, governed data delivery, lineage, and operational analytics.
  • Experience designing and operationalizing data pipelines, transformation workflows, and data products supporting structured and unstructured data.
  • Hands-on knowledge of Databricks platform capabilities such as Delta Lake, Workflows, MLflow, Unity Catalog, or similar platform-native services.
  • Familiarity with DataOps, DevOps, and MLOps practices, including CI/CD, version control, testing, deployment, monitoring, and operational support.
  • Strong understanding of data quality, metadata management, lineage, access control, and governance within secure or regulated environments.
  • Experience troubleshooting architecture, integration, performance, and operational issues across distributed data platforms.
  • Ability to establish technical standards, guide architecture and implementation decisions, and clearly communicate technical concepts to technical and non-technical stakeholders.

Preferred Qualifications:
  • Deep Databricks expertise, including medallion architecture, Delta optimization, workload tuning, cluster and job strategy, and production ML enablement.
  • Experience implementing solutions in Palantir Foundry, including data-pipeline organization, governed data assets, operational workflows, and integrations.
  • Experience with Git-based CI/CD pipelines, infrastructure and deployment tooling, and cloud-native platform services.
  • Experience supporting the ML lifecycle, including model packaging, registration, deployment, monitoring, and inference-workflow integration.
  • Knowledge of enterprise data integration, API-based data exchange, and secure cross-platform interoperability.
  • Experience with Advana/MAVEN Smart System (Palantir Foundry) or similar DoD enterprise analytics environments.
  • Prior experience supporting Department of Defense, Intelligence Community, or other Federal mission environments.

Benefits:
Expression offers competitive salaries and benefits, such as:
  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement
  • Complimentary life insurance
  • Generous PTO and holiday leave
  • Onsite office gym access
  • Commuter Benefits Plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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