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.

Skillset / Experience:
Overview
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.

Key Responsibilities
Technical Leadership

• 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.

Platform Strategy & Architecture

• 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.

People Leadership

• 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.

Required Qualifications

• 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) concepts and enterprise data quality practices.
• Working knowledge of Power BI and supporting enterprise reporting environments.
• Experience working in Agile software development environments.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications

• Experience with Azure Databricks, Delta Lake, Apache Spark, or similar distributed data processing technologies.
• Experience with Azure DevOps and Microsoft SQL Server.
• Exposure to AI, machine learning, advanced analytics, or modern data science platforms.

Additional Information

• Hybrid role based in Seattle, WA.
• Occasional regional travel may be required.
• Participation in an on-call support rotation may be required.
• Opportunity to lead a highly visible enterprise data modernization initiative supporting analytics, business intelligence, and AI capabilities.

Our benefits package includes: (EXCLUDE on perm placements)

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more!

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About INSPYR Solutions


Technology is our focus and quality is our commitment. As a leading expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our tailored offerings include a wide variety of professional services, project solutions, managed services, and talent resources, all bolstered by our strategic partnerships with cutting-edge technology services. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at www.inspyrsolutions.com.
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