Lead multi-year vision and architecture for data governance and quality at scale. Define best practices, tooling, and culture while coaching senior engineers and influencing executive strategy on compliance and data integrity.
248k – 310k/yr
Remote12+ YOEData Engineering
About the role
Responsibilities
Define the multi-year vision for Data Governance and Data Quality that scales with global business and evolving AI landscape
Act as primary consultant for executive leadership on data governance, ensuring compliance and stewardship are integrated into the data product lifecycle
Lead the design of overarching data architectures that anticipate future real-time and AI-driven requirements
Define best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously
Lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (GDPR, AI Act) and translate them into engineering requirements
Coach Senior and Staff engineers across the organization on data best practices
Requirements
12+ years of industry experience with proven track record of leading large-scale data initiatives across multiple departments or business units
Expertise in designing and evolving complex data ecosystems within complex, high-volume environments
Experience influencing product and business strategy by leveraging data integrity as a competitive advantage
Deep expertise in the Java/Scala/Spark ecosystem (preferably with knowledge of S3 and Iceberg)
Strong knowledge of relational databases and query authoring (SQL)
Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization
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