Job Description : Snowflake Data Engineer – Pharma Domain
Overview
We are seeking a highly skilled Snowflake Data Engineer with hands-on experience in pharmaceutical commercial data environments. The ideal candidate will design, build, and optimize cloud-based data pipelines and warehouses in Snowflake, enabling analytics, reporting, and compliance across pharma sales, marketing, and commercial operations. This role requires a mix of strong data engineering expertise, SQL programming, and domain knowledge of pharma datasets (HCP, HCO, sales, claims, prescription, etc.).
Key Responsibilities
- Snowflake Development & Optimization
- Design, build, and maintain Snowflake-based data warehouses to support commercial operations, sales, and marketing analytics.
- Develop and optimize ETL / ELT pipelines using Snowflake features (Snowpipe, Streams, Tasks, Time Travel, Cloning, etc.).
- Implement data modeling (3NF, Star, Snowflake schemas) for scalability and performance.
- Optimize query performance, warehouse sizing, and cost management.
- Pharma Data Engineering
- Ingest, transform, and curate pharma datasets such as HCP / HCO master data, prescription / claims data, sales data, alignment / territory data, and patient data.
- Integrate data from external vendors (IQVIA, Symphony, Veeva, Definitive HC, etc.).
- Ensure compliance with HIPAA, GDPR, and Sunshine Act requirements in data handling.
- Integration & Enablement
Qualifications
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.5+ years of data engineering experience with at least 2+ years in Snowflake (cloud warehouse).Strong SQL programming and performance tuning skills.Hands-on experience with ETL / ELT tools (DBT, Informatica, Talend, Matillion, Fivetran, etc.).Knowledge of pharma commercial data including HCP / HCO, sales, claims, prescription, and patient datasets.Experience with cloud platforms (AWS, Azure, or GCP).Strong understanding of data security and compliance regulations in pharma / life sciences.