United States onlyWe are seeking an Engineering Manager (Data Warehouse Engineering) with at least seven (7) years of progressive experience in data engineering or data warehouse architecture, including technical leadership in complex, regulated environments. The ideal candidate brings deep expertise in Databricks and Azure, along with a strong foundation in DevSecOps, automation, and secure, scalable data platforms.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field
- Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position
- Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members
- Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations
- Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.)
- Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred
- Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies
- Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights
Benefits
- Full benefits
