Sr Data Engineer
Core
Design, build, and optimize enterprise data integration, consolidation, and Master Data Management (MDM) pipelines on Snowflake to support life sciences market access and patient data operations.
Role type
Senior Individual Contributor Data Engineer (Snowflake & MDM)
Builds
Scalable ELT pipelines, curated data layers, MDM golden records, and AI-ready datasets for life sciences commercialization.
Domain
Life Sciences / Healthcare / Master Data Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Snowflake architecture and optimization, dbt (ELT), Python, SQL/PL/SQL, data modeling (dimensional/medallion), MDM concepts (survivorship, match/merge), data quality/lineage, CI/CD, cloud storage patterns.
Preferred skills
Reltio MDM, life sciences reference datasets (HIN, DEA, NPI), orchestration frameworks (Airflow, Dagster), Terraform, SnowPro certification.
Technologies
Snowflake, dbt, Python, Reltio, Airflow, Terraform, Git
Responsibilities
Design Snowflake schemas and stored procedures for high-volume processing; build pipelines to ingest and master data in Reltio; optimize Snowflake costs and performance; develop dbt models for data transformation; partner with MDM and Product teams on data mapping and validation; implement data quality checks and observability.
Seniority
Senior, hands-on IC