The role involves designing and maintaining scalable data platforms that power AI, machine learning, and GenAI capabilities for pharmaceutical research
Job Summary
The role involves designing and maintaining scalable data platforms that power AI, machine learning, and GenAI capabilities for pharmaceutical research.
Candidates will work as a critical technical leader to drive end-to-end data platform solutions across the business's R&D group.
Employees are eligible for comprehensive benefits including medical, dental, vision, a 401(k) savings plan, and up to 480 hours of parental leave.
Matching Summary
The role involves designing and maintaining scalable data platforms that power AI, machine learning, and GenAI capabilities for pharmaceutical research.
Salary
Base: $132,000 - $150,000; Bonus/Equity: Eligible for long-term incentive program; Benefits: Medical, dental, vision, 401(k), vacation, sick time, and parental leave
Skills & Requirements
Must-have
Snowflake or Databricks experience
Airflow and DBT pipeline development
Streamsets data integration skills
Scalable data platform architecture
End-to-end data platform operations
Nice-to-have
Innovative platform strategy shaping
Collaboration with data product owners
Pharmaceutical research & development context
High-quality data solution delivery
Key Requirements
Bachelor's degree in Computer Science or related field
3 years of experience in Data Platform Engineering
Experience with Snowflake, Databricks, Airflow, DBT, or Streamsets