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Data Platform Engineering Manager Jobs in Seattle, WA

Agelix Consulting

Data Solutions Architect

Seattle, WA · On-site

Platform Engineering: Lead cloud data platform selection, TCO analysis, and implementation planning to ensure a cost-effective and scalable infrastructure. * Complex Integration: Design integration ...

Xealth

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

This role offers a unique opportunity to join a data engineering team to advance our capabilities ... Partner with product managers and EHR specialists to translate clinical user behaviors into rich ...

Xealth

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

This role offers a unique opportunity to join a data engineering team to advance our capabilities ... Partner with product managers and EHR specialists to translate clinical user behaviors into rich ...

Georgia IT, Inc.

Azure Data Engineer

Redmond, WA · On-site

$61.50 - $76.50/hr

... data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager ... Azure CLI, PowerShell, and ARM templates. • Ability to communicate effectively with stakeholders ...

Mindbody

Engineering Manager - Platform

Seattle, WA · On-site

$151K - $201K/yr

Managing a team of engineers and facilitating their career development through challenging ... Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a ...

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All JobsData Platform Engineering JobsData Platform Engineering Manager JobsData Platform Engineering Manager Jobs in Seattle, WA

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.

Data Solutions Architect

Seattle, WA • On-site

Agelix Consulting
IT Services • 11 - 50 employees
Learn more about Agelix Consultingexternal

Full-time

Re-posted yesterday

Job description

Job Title: Data Solutions Architect

Location: Seattle, WA

Role Overview: You are the technical backbone of the data ecosystem. You will design and implement the robust, scalable environments required to move, store, and secure massive datasets from diverse utility systems.

Key Responsibilities:

  • Platform Engineering: Lead cloud data platform selection, TCO analysis, and implementation planning to ensure a cost-effective and scalable infrastructure.
  • Complex Integration: Design integration architectures that ensure interoperability between legacy and modern systems such as Maximo, Oracle, SCADA, GIS, and AMI.
  • Pipeline Development: Oversee the development of high-performance ETL/ELT pipelines and data engineering workflows.
  • Prototyping: Drive innovation through Proof of Concept (PoC) development to test new technologies before full-scale rollout.
  • Security & Compliance: Ensure all architectural designs align with strict security, privacy, and regulatory compliance standards.