Lead Data Engineer, Sr. Specialist
Core
Architect, build, and lead scalable data platforms and data lakehouse architectures for a global healthcare biopharma company.
Role type
Senior Lead Data Engineer (Hands-on IC with technical leadership)
Builds
Scalable data pipelines, data lakehouse architectures, and enterprise data models on AWS and Databricks.
Domain
Healthcare / Biopharma / Life Sciences
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Apache Spark, Apache Airflow, AWS (S3, Glue, Redshift, Lambda), Databricks (Unity Catalog, Delta Lake), Data Modeling (Star/Snowflake schemas), CI/CD (GitHub Actions)
Preferred skills
DBT, Real-time/streaming pipelines (Kafka), ML/data science workflows, Pharmaceutical/Life Sciences domain knowledge
Technologies
AWS, Apache Spark, Apache Airflow, Databricks, Delta Lake, Redshift, GitHub Actions, DBT, Kafka
Responsibilities
Lead design and implementation of end-to-end data engineering solutions; Architect and optimize large-scale data pipelines; Design and manage orchestration frameworks; Build scalable and cost-efficient solutions on AWS ecosystem; Mentor and guide data engineering teams; Ensure data platform scalability, performance, and reliability; Design and implement scalable data models and dimensional models.
Seniority
Senior, hands-on IC with technical leadership