Principal Product AI Data Platform Engineer

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