Data Engineering Manager

INSPYR Solutions; Seattle (WA); Hybrid; USD 150,000 - 160,000; Full time

Benefits offered by this job

Comprehensive medical benefits

401(k) retirement plan

Competitive pay

Job summary

INSPYR Solutions in Seattle is seeking a Data Engineering & Analytics Manager to lead a team building a cloud-based data platform on Azure. The role focuses on migrating from Azure Synapse Analytics to Microsoft Fabric and enabling enterprise analytics, BI, and AI initiatives.

The candidate will mentor engineers, establish best practices, and shape data governance and platform strategy, balancing hands-on leadership with enterprise-scale data operations in a hybrid Seattle role.

Qualifications

• Bachelor's degree in CS, IT, Data Science or equivalent.
• 8+ years in data engineering or enterprise data platforms.
• 5+ years leading software or data engineering teams.
• Strong experience with Azure data services and cloud platforms.
• Experience building enterprise-scale ETL/ELT pipelines.
• Knowledge of dimensional modeling and semantic modeling.
• Experience with data governance using Purview.
• Familiarity with MDM concepts and data quality practices.
• Proficiency in Power BI and enterprise reporting.
• Experience in Agile environments.
• Excellent communication and stakeholder management.

Responsibilities

• Lead design, development, and operation of an enterprise Azure data platform.
• Oversee migration from Azure Synapse Analytics to Microsoft Fabric with minimal disruption.
• Manage ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines.
• Establish data models (Bronze/Silver/Gold) and semantic models for BI.
• Partner with analytics teams to deliver datasets for Power BI.
• Ensure security, reliability, and performance; guide Agile planning.
• Mentor data engineers and foster engineering best practices.

Skills

Azure

Leadership

Data modeling

Power BI

Agile

ETL/ELT

Communication

Education

Bachelor's degree or equivalent

Tools

Azure Data Lake Storage

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Power BI

Databricks

Job description

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.

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.

Benefits

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

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.