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Strong employer brand plus metro location increase applicant density despite senior, specialized role.
Requires deep enterprise data engineering and regulated-industry experience, limiting cross-industry transferability.
Mandatory 15+ years and specific Snowflake/Fivetran/DBT technical mandates create rigorous filtering.
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Lead and define enterprise-wide data engineering strategy aligned with 2030 Data Strategy, translating vision into measurable business value through capability models and adoption roadmaps.
Build and manage a high-performing team responsible for end-to-end data engineering services including acquisition, ingestion, transformation, orchestration, with governance, automation, and performance SLAs/SLOs using Snowflake, Fivetran, Dbt, DataOps.live, and related technologies.
Operate and scale federated data engineering services across business units, ensuring regulatory compliance (privacy, GxP, SOx, HIPAA), driving adoption via education, enablement, and community practices.
Preferably 15+ years in enterprise data engineering leadership roles.
Mandatory skills: Snowflake, Fivetran, DBT, DataOps.live, SnowPark Container technology, Apache Iceberg, Snowflake Horizon, Snowflake Cortex software (CoCo), AWS S3.
Experience with structured, semi-structured, and unstructured data assets; strong hands-on capabilities in data acquisition, storage, ingestion, transformation, orchestration, CI/CD, containerization.
Work Experience Required: Preferably 15+ years; Notice Period: Not explicitly mentioned in the JD.
Demonstrated experience leading large-scale, federated global data engineering teams in regulated industries like Pharma or Healthcare with data privacy and regulatory compliance focus.
Proven capability in building new enterprise data engineering capabilities from scratch and scaling them globally with service tiers, maturity models, and adoption programs.
Strong technical leadership with ability to influence across business and technical teams integrating advanced automation and cloud-native architectures.