We are seeking a Principal Product AI Data Engineer / Architect to define, build, and scale enterprise-grade AI-ready data platforms for the Life Sciences and Healthcare (LSH) ecosystem.
Requirements
- 10+ years of professional experience in Data Engineering, Analytics Engineering, or Data Architecture.
- Proven experience in enterprise-scale data architecture and distributed pipeline design.
- Expert-level proficiency in SQL and relational database design.
- Strong hands-on experience in Python for pipeline automation, orchestration, and data framework development.
- Deep expertise in dimensional modeling, including star and snowflake schemas, fact/dimension tables, SCDs, surrogate keys, and hierarchical dimensions.
- Experience designing and operating production-grade ETL/ELT pipelines for analytics and AI/ML workloads and strong ability to influence technical outcomes through architectural leadership and enterprise strategy
- Experience with cloud data warehouses: Snowflake, Databricks, BigQuery.
- Familiarity with modern data orchestration and transformation tools: dbt, Airflow, Fivetran, Segment.
- Experience handling semi-structured and event-driven data (JSON, logs, clickstream).
- Exposure to BI and visualization tools: Power BI, Tableau, Looker, SAP BusinessObjects.
- Experience with AWS, Azure, or GCP, including data governance, security, and compliance frameworks.
- Background in Life Sciences or Healthcare analytics
Benefits
- Equal Employment Opportunities
- Compliance with applicable laws and regulations governing non-discrimination