We are looking for a Manager, Data Engineering, who will lead teams responsible for building, scaling, and operating enterprise-grade data architectures, including data lakes, data warehouses, and lakehouse platforms, that power Clarivate’s AI- and analytics-driven products.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Analytics, or a related field.
- Minimum 10+ years of experience in data engineering, analytics engineering, or data-intensive software engineering
- Minimum 2+ years of people management or technical leadership experience
- Strong experience designing enterprise data architectures, including data lakes, data warehouses, and/or lakehouse platforms
- Proven expertise in dimensional data modeling (star schema, fact/dimension tables) for analytics and BI
- Experience building or supporting analytics- or AI-enabled data platforms
- Exposure to US Healthcare data such as claims, clinical data, payer/provider systems, or real-world evidence
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Strong proficiency in SQL and working knowledge of Python or ETL Tools
- Experience with Snowflake, Databricks, Spark, or similar data warehouse/lakehouse platforms
- Hands-on experience implementing enterprise data lakes and data warehouses at scale
- Exposure to ML pipelines, MLOps, or close collaboration with data science teams
- Familiarity with GenAI, LLMs, vector databases, or emerging AI-driven data architectures
- Experience working in regulated healthcare or life sciences environments