Data Engineering Manager

Title: Data Engineering & Analytics Manager

Location: Seattle, WA – 3 days onsite

Duration: Direct Hire

Compensation: $150K-$160K

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

We are seeking an experienced Manager, Data Engineering & Analytics Platform to lead a team responsible for designing, building, and operating a modern cloud-based enterprise data platform. This leader will drive the evolution of the organization's Azure-based data ecosystem, including the migration from Azure Synapse Analytics to Microsoft Fabric, while enabling enterprise analytics, business intelligence, and AI initiatives.

This is an opportunity for a hands‑on technical leader with strong people management experience who can mentor engineers, establish engineering best practices, and shape the long-term strategy for data architecture, governance, and cloud data services.

• Lead the design, development, and operation of an enterprise Azure Data Lakehouse, including data ingestion, transformation, storage, and serving layers.
• Guide the migration from Azure Synapse Analytics to Microsoft Fabric, ensuring scalability, performance, and minimal business disruption.
• Oversee enterprise ETL/ELT development using Azure Data Factory, Synapse Pipelines, and Microsoft Fabric Dataflows.
• Establish scalable data models utilizing Medallion Architecture (Bronze/Silver/Gold), Star Schema, and semantic modeling best practices.
• Partner with analytics teams to deliver high-quality datasets and semantic models supporting Power BI reporting and enterprise analytics.
• Ensure solutions are designed with scalability, security, reliability, and performance in mind to support advanced analytics and AI‑driven initiatives.
• Participate in Agile planning, sprint execution, backlog refinement, and cross‑functional delivery activities.

• Serve as the technical lead for enterprise cloud data architecture and engineering.
• Define standards and best practices for data engineering, pipeline development, testing, data quality, and platform governance.
• Lead implementation and adoption of Microsoft Purview for enterprise data governance, cataloging, lineage, and compliance.
• Support Master Data Management (MDM) initiatives to improve data consistency and integrity across enterprise systems.
• Evaluate and recommend modern Azure data technologies, including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Databricks.
• Develop platform roadmaps and collaborate with business and technology leaders to prioritize strategic initiatives.
• Establish KPIs to measure platform health, pipeline reliability, data quality, and business impact.

• Lead, mentor, and develop a team of data engineers responsible for enterprise data platform development and operations.
• Provide technical coaching, career development, and performance management.
• Foster a collaborative engineering culture focused on continuous learning and adoption of modern cloud data technologies.
• Promote best practices across Azure services, Microsoft Fabric, Power BI, data governance, and modern engineering methodologies.
• Communicate technical strategy effectively with engineering teams, business stakeholders, and executive leadership.

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (or equivalent experience).
• 8+ years of progressive experience in data engineering, enterprise data platforms, or software engineering.
• 5+ years of experience managing software engineering or data engineering teams.
• Strong experience designing and supporting enterprise cloud data platforms.
• Deep expertise with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
• Experience building enterprise-scale ETL/ELT pipelines and data integration solutions.
• Strong understanding of dimensional modeling, Star Schema, Medallion Architecture, and semantic modeling.
• Experience implementing data governance using Microsoft Purview or comparable solutions.
• Familiarity with Master Data Management (MDM)…