Data Engineering Manager
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Job Posting: Manager, Data Engineering (Healthcare/Pharma domain)Location: Pittsburgh, PA or Memphis, TN (Local candidates only – no relocation assistance)
An innovative and rapidly growing organization in the healthcare and pharmaceutical space is seeking a Manager, Data Engineering to lead its data team in building and maintaining a cutting-edge Enterprise Data Warehouse (EDW) hosted on Azure and Databricks. This is a hands-on leadership position ideal for a seasoned data architect with proven team management experience and a deep technical background in Azure-based data solutions.
This role is perfect for a candidate passionate about solving complex data challenges, driving data architecture decisions, and mentoring a team of data professionals in a fast-paced, mission-driven environment.
- Lead and mentor a team of data engineers and DBAs responsible for the design, development, and maintenance of a cloud-based EDW.
- Collaborate with a program manager to plan and deliver data engineering initiatives aligned with business priorities and timelines.
- Architect and implement scalable data pipelines, models, and ETL processes using Azure Data Factory, Databricks, and related technologies.
- Manage and optimize Azure cloud services to ensure high performance and cost-efficiency.
- Enforce data governance policies and quality standards to ensure data integrity and compliance in a healthcare environment.
- Partner with cross-functional teams, including analysts, data scientists, and business leaders, to understand data needs and translate them into actionable solutions.
- Provide technical leadership while remaining hands-on with development work as needed.
- Document architecture, processes, and standards while fostering a knowledge-sharing environment across the team.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum 5 years of experience in data engineering, with at least 2 years in a leadership or management role.
- Deep hands-on expertise in Azure cloud platforms, specifically Azure Data Factory, Databricks, and Data Lake.
- Proficiency in SQL, Python, and PySpark (Scala is a plus).
- Experience designing and implementing data solutions in a healthcare or regulated data environment (HIPAA/GDPR).
- Strong understanding of data warehousing concepts, dimensional modeling, and ETL best practices.
- Exceptional communication and collaboration skills across technical and non-technical stakeholders.
- Familiarity with CI/CD, version control (Git), agile methodologies, and tools such as Azure DevOps.
- Experience using project management tools such as MS Project or SmartSheets.
- Previous work in a pharmacy or specialty pharmacy data environment.
For confidential consideration, please submit your resume highlighting your relevant experience and technical background. We are actively interviewing and look forward to connecting with qualified candidates ready to make an impact in healthcare data engineering.