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!
#IND-Telecom
