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Tier-1 employer, metro location, and common 'Data Engineer' title raise applicant competition despite specialized skills.
Requires regulated-industry experience and domain knowledge, reducing transferability across unrelated industries.
Explicit 8–13 years, regulated-industry mandate, and multiple mandatory technologies increase filtering stringency.
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Design and build enterprise knowledge and context capabilities to support scalable, governed AI solutions.
Develop foundational services enabling AI applications to discover, retrieve, and understand enterprise information across various data types and domain knowledge.
Collaborate across data engineering, knowledge management, metadata, search, AI, and platform teams to establish reusable knowledge services, not isolated solutions.
8-13 years of experience in Computer Science, IT or related field.
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
Experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, or comparable modern data platforms.
Experience working in regulated industries such as biotechnology, pharmaceuticals, healthcare, financial services, or life sciences.
Proven ability to translate domain knowledge into scalable data and AI capabilities within complex enterprise environments.
Strong background in AI, search, metadata management, and enterprise data governance in regulated sectors.
Experience working effectively across global, virtual teams in cross-functional technical collaborations.