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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, SCD...
About the Role
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. This role combines hands-on technical mastery with enterprise architecture leadership, influencing multiple product lines and setting long-term standards for dimensional modeling, analytics pipelines, and AI data enablement.
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