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Data Platform Engineering Manager Jobs in Washington

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · Remote

$120K - $125K/hr

Identity Management * Support data engineering teams by maintaining a reliable Databricks platform environment. Data Storage & Platform Governance * Manage Azure Data Lake Storage Gen2 environments.

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

Identity Management * Support data engineering teams by maintaining a reliable Databricks platform environment. Data Storage & Platform Governance * Manage Azure Data Lake Storage Gen2 environments.

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

Identity Management * Support data engineering teams by maintaining a reliable Databricks platform environment. Data Storage & Platform Governance * Manage Azure Data Lake Storage Gen2 environments.

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data ... Exceptional time and project management skills. * Ability to work in a dynamic and fast-paced ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data ... Exceptional time and project management skills. * Ability to work in a dynamic and fast-paced ...

Accenture Federal Services

Data Platform Engineer

Chantilly, VA · On-site

$117K - $140K/yr

... platforms such as Databricks, GitLab, and Confluence to collect and analyze project activity data ... engineering capabilities at higher classification levels. * Managing the Central team's GitLab ...

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.

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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.

Director, Enterprise Data Platform & Engineering

Mclean, VA • On-site

Medallia
IT Services • 1 - 5K employees
Learn more about Medalliaexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago

Key responsibilities

  • Own and evolve the enterprise data strategy and technical architecture for the data platform.

  • Partner with business leaders to gather requirements, prioritize the backlog, and deliver data solutions using an agile approach.

  • Provide hands-on leadership and coaching to a team of data engineers and analysts, reviewing data models and pipelines.

Job description

Overview
Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role and Team
The Head of Data Platform & Engineering owns our internal enterprise data strategy and platform, turning raw operational data into governed, trusted data products that power decision-making for our executive leadership team (ELT), FP&A, GTM Analytics and other business functions within Medallia. This is a hands-on leadership role for someone with demonstrated experience in defining a data strategy, executing on the platform architecture and data modeling, and building and coaching a small team of data engineers and analysts. This role will also lead the effort to extend self-service analytics beyond a small group of expert Tableau users to a broader, distributed set of business analysts by leveraging the newer breed of analytics solutions and AI.
This role sits at the center of how we operate as one integrated, high-performing company: the data platform is the connective tissue that gives leadership a single source of truth on the health of the business, and gives go-to-market teams (Marketing, Sales, Service, and Support) the insight they need to protect and grow our customer base.
Responsibilities
  • Own and evolve the enterprise data strategy and technical architecture for the enterprise data platform, continuing our shift to a Medallion (bronze/silver/gold) architecture.
  • Build a deep working knowledge of the company's GTM strategy, product telemetry, and financial reporting needs; act as a trusted advisor to business functions, translating their priorities into well-governed data products and a prioritized roadmap.
  • Partner with business function leaders and their distributed analytics teams to gather requirements, prioritize the backlog, and run an agile delivery model with a clear bias to action.
  • Provide hands-on leadership and coaching to a small team of data engineers and analysts, reviewing data models and pipelines and unblocking technical decisions.
  • Define and maintain data governance standards - quality, access, lineage, and shared definitions - in partnership with data owners across the business.
  • Lead the evaluation and rollout of tools that extend self-service analytics and AI enablement to non-technical business users, reducing reliance on multiple Excel workbooks and avoiding the learning curve of more complex BI solutions.
  • Partner cross-functionally on data initiatives that support revenue growth: pipeline generation, prospecting, expansion and renewal (ATR) opportunities, rep productivity, and product telemetry - bringing greater predictability and insight to the business.
  • Lead the selection, implementation, and management of the core data platform technology stack; partner with business functions on selection and management of the analytics and visualization tools that leverage the data platform.
  • Identify opportunities to apply AI to the data platform itself and to internal reporting and analytics workflows, in line with the company's broader AI-enablement priorities.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
Qualifications
Minimum Qualifications
  • 10+ years in data engineering and/or data platform management, including 5+ years leading a data platform, data engineering, and/or analytics team.
  • Hands-on experience and proficiency in SQL and dbt (or a comparable transformation and orchestration solution) to transform raw source data into analysis-ready, governed tables and views.
  • Demonstrated experience architecting and operating cloud data platforms (e.g., Snowflake or a comparable cloud data warehouse) at enterprise scale, leveraging pipeline orchestration (e.g., Dagster, Airflow, or similar) and EL / ETL tooling (e.g., Fivetran or similar).
  • Experience designing and executing a data platform strategy end to end - from technical architecture, through data governance, to business adoption.
  • Track record of translating ambiguous business requirements into clear data models, metrics, and reporting.
  • Experience running an agile delivery model with a bias to action and a track record of shipping incremental business value.
  • Strong communication, prioritization, and stakeholder management skills; comfortable operating as a trusted advisor to executive and business-function leaders, not just a service provider, in a dynamic environment.
  • Proven people leadership: hiring, coaching, and developing a small, senior technical team.

Preferred Qualifications
  • Direct experience with a Medallion (bronze/silver/gold) or similar layered data architecture.
  • Experience with Tableau and with newer spreadsheet-native, self-service BI tools (e.g., Sigma, Omni) - particularly in extending BI to non-technical business analysts.
  • Familiarity with native AI/ML capabilities within a cloud data platform (e.g., Snowflake Cortex) and a passion for leveraging AI to accelerate data engineering and analytics work.
  • Experience in a B2B software/SaaS company, ideally supporting FP&A, GTM (marketing, sales, service/support), and executive data and reporting use cases.
  • Ability to distill signal from noise in large, messy data sets and crisply communicate the "so what" to non-technical executive audiences.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $155,500 - $270,000. This position is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.
Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.
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