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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** Inspyr Solutions - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Database, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Dimensional Modeling, Distributed Computing Environment, Machine Learning, Microsoft SQL Server, Power BI, Azure Data Lake, Software Engineering, Enterprise Data Management, Data Ingestion, Azure Data Factory, Apache Spark, Microsoft Fabric, Data Lakes, Information Technology, Data Analytics, Star Schema, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=86de07133f3c7577 ## About the Role 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., * 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., * 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. ## Description 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., 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. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)