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# Data Engineering Manager

- **Company:** Agile Resources
- **Location:** Cleveland, OH, United States
- **Experience:** Expert
- **Salary:** $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Dataspaces, Data Warehousing, SQL Azure, Enterprise Data Management, Google Cloud, Snowflake, Event Driven Architecture, Microsoft Fabric, Data Lakes, Information Technology, Apache Kafka, Servicenow, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/923b7b54-af0a-419a-b386-f8774e1f4ac0/data-engineering-manager

## About the Role

* 10+ years of experience in data engineering, data architecture, or related disciplines, including 5+ years leading senior engineers or technical teams and mentoring high-performing engineering organizations.
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 * Proven experience architecting, building, and scaling enterprise data platforms, including data lakes, data warehouses, pipelines, streaming architectures, and large-scale data integration environments.
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 * Strong cloud data engineering experience (preferably Azure) with hands-on architectural knowledge of platforms/technologies such as Azure SQL, Microsoft Fabric, Databricks, Snowflake, Kafka, or comparable tools.
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 * Experience establishing enterprise data governance and data-quality frameworks, engineering standards, platform reliability practices, scalability approaches, and cost optimization across complex data environments.
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 * Demonstrated ability to set data engineering strategy, influence technical and business stakeholders, and partner effectively across Analytics, AI/ML, Product, and executive leadership.
\n, * Experience leading data platform, system, or data-integration efforts tied to mergers and acquisitions, including harmonizing data models and consolidating pipelines and tooling.
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 * Background in IT Services, Managed Services, or similar enterprise technology environments, particularly supporting ERP, ServiceNow, or supply-chain data ecosystems.
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 * Relevant cloud or data-platform certifications (Azure, AWS, GCP, or equivalent advanced credentials).
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