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Data Platform Engineering Manager Jobs in Seattle, WA

... Engineering Manager to help build and scale our foundational platforms - the healthcare database of ... Bias for action and data-driven decision making * First-principles thinking applied to technical ...

... Manager. This role involves leading the engineering of mission-critical, tier 0 service ... data platform that powers Smartsheet at scale. You will oversee services that handle millions ...

... Manager. This role involves leading the engineering of mission-critical, tier 0 service ... data platform that powers Smartsheet at scale. You will oversee services that handle millions ...

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

Conduct demos and provide technical guidance to engineering teams, showing them how our platform ... Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration ...

Data Platform Engineer II

Seattle, WA · On-site

$105K - $130K/yr

... in data engineering standards and platform reliability. Your Core Responsibilities: * Design ... Develop and enforce data quality, data governance, and metadata management practices. * Partner ...

This critical role will drive the scalability and reliability of our data focused healthcare SaaS platform while ensuring seamless corporate IT operations. As Senior Manager of Platform Engineering ...

Engineering Manager

Seattle, WA · On-site

$195K - $338K/yr

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together ... Description As an Engineering Manager on the Applied Machine Learning team, you will lead a team of ...

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Showing results 1-20

Data Platform Engineering Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do data platform engineering manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data platform engineering manager in Seattle, WA is $110,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

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 near Seattle, WA are hiring for Data Platform Engineering Manager jobs?

Cities near Seattle, WA with the most Data Platform Engineering Manager job openings:

Infographic showing various Data Platform Engineering Manager job openings in Seattle, WA as of September 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $110,553 per year, or $53.2 per hour.

Platform Engineering Manager - DataLake

Seattle, WA • On-site

NexHealth
Software Development • 51 - 200 employees

Full-time

Re-posted 5 days ago


Job description

About the Role

We are seeking an experienced Engineering Manager to help build and scale our foundational platforms - the healthcare database of the future that no one has yet built. 

Your team will tackle some of the most complex and high-impact technical challenges in healthcare: how to ingest, store, and serve intrinsically graph-like data at global scale, and how to ensure that entities only see the data dimensions they are authorized to access. You'll think from first principles, prototype and productionize novel solutions, and develop a truly heterogeneous data lake that stores the world's multi-modal healthcare data.

This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving hard, unsolved challenges. No prior experience in health tech is required.

What You'll Do

  • Hire and develop world-class engineers to build an exceptional team
  • Support engineers' career growth through clear feedback, mentorship, and leadership development
  • Establish and uphold high technical standards through sound processes (e.g., architecture reviews, testing) and strong engineering culture
  • Partner with engineering and product leadership to define and execute long-term platform roadmaps
  • Drive execution and collaborate across teams to deliver complex, cross-functional initiatives

What You'll Bring

  • 4+ years leading high-performing engineering teams with a proven track record of innovation
  • 10+ years of total industry experience in software engineering
  • Exceptional people leadership skills with experience coaching and developing engineers
  • Deep experience delivering large-scale, foundational infrastructure systems
  • Strong judgment balancing engineering velocity with long-term technical quality
  • Excellent collaboration skills with the ability to partner effectively across Product, Sales, and Customer Success
  • Demonstrated success defining and driving technical and organizational roadmaps
  • A builder mindset with experience scaling teams and systems in fast-paced environments
  • Strong ownership and initiative in ambiguous, evolving contexts
  • Bias for action and data-driven decision making
  • First-principles thinking applied to technical and organizational challenges
  • Deep care for people development and team health
  • Alignment with NexHealth's values and mission
  • BS/MS in Computer Science or a related field, or equivalent practical experience