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Data Platform Manager Jobs in Washington (NOW HIRING)

Vantor

Backend Developer, Data Platform

Reston, VA · On-site

... managers to define scalable data models and platform capabilities • Improve reliability, observability, and performance of data workflows and backend services • Implement best practices for ...

AARP

Platform Manager, Network Services

Washington, DC · On-site

$180K/yr

Conducts data driven analysis and analyzes performance to drive platform decisions that deliver ... Experience managing technical teams using IT service management and Agile methodologies (Scrum ...

Maxar

Backend Developer, Data Platform

Reston, VA

$113K - $188K/yr

Partner with data engineering, analytics, and product managers to define scalable data models and platform capabilities * Improve reliability, observability, and performance of data workflows and ...

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All JobsData Platform JobsData Platform Manager JobsData Platform Manager Jobs in Washington

Data Platform Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do data platform manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data platform manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What does a platform manager do?

A platform manager oversees the development, maintenance, and optimization of data platforms that support an organization's data infrastructure. They coordinate teams, ensure data security, and implement tools and processes for data integration, storage, and analysis, often using technologies like cloud services and data management software.

How much do customer data platform managers make?

Customer Data Platform Managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in data management and analytics can earn higher salaries, often exceeding $160,000.

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

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What kind of jobs in media bring in $150,000 a year?

In media, senior roles such as Media Director, Content Director, or Executive Producer can earn $150,000 or more annually, especially with extensive experience and leadership responsibilities. High-paying positions often require strong project management skills, industry knowledge, and sometimes advanced degrees or certifications in media or communications.

What are some common challenges faced by Data Platform Managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What are the key skills and qualifications needed to thrive as a Data Platform Manager, and why are they important?

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain executive positions like Chief Executive Officers, investment bankers, and top-tier technology leaders often reach or exceed this level, especially with bonuses, stock options, or profit sharing. These roles typically require extensive experience, advanced skills, and often a combination of leadership and technical expertise.

What is a Data Platform Manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
What are popular job titles related to Data Platform Manager jobs in Washington? For Data Platform Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Platform Manager jobs in Washington look for? The top searched job categories for Data Platform Manager jobs in Washington are:
What cities in Washington are hiring for Data Platform Manager jobs? Cities in Washington with the most Data Platform Manager job openings:
Data Platform Manager jobs near you
Infographic showing various Data Platform Manager job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.

Data Platform Engineer - Python - Senior

Montcure, LLC

Dumfries, VA • On-site

$90K - $115K/yr

Full-time

Posted 14 days ago

Job description


Data Platform Engineer (Python) – Senior - Palantir Foundry / Jupyter Platform Support


Location: Washington D.C. (Remote Eligible)

Level: Senior

Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance

*Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure.


Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today’s rapidly evolving business environment.

Job Summary

The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.

Key Responsibilities

Data Pipeline Development:

  • Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform.
  • Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets.
  • Implement transformation logic to prepare raw datasets for curated data layers and ontology population.

Data Platform Operations:

  • Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring.
  • Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability.
  • Maintain dataset lineage awareness and support platform data integrity practices.

Data Integration and Support:

  • Assist with integrating enterprise system data into the platform environment.
  • Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly.
  • Document pipelines and transformation logic to support maintainability of the platform.

Required Qualifications

Education:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience).

Experience:

  • 4–7 years experience in data engineering or platform engineering roles.
  • Experience developing Python-based data pipelines
  • Experience building ETL/ELT pipelines and data transformation workflows
  • Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments
  • Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred

Skills:

  • Strong Python development skills for data processing and pipeline development
  • Experience with SQL and data transformation frameworks
  • Familiarity with distributed data platforms and large-scale data environments
  • Strong troubleshooting and problem-solving skills in data pipeline operations
  • Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders

Status: Contingency – This work is contingent upon award.

Salary Range: $90-$115k per year


Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.