Senior Staff Data Engineer
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.
About the job
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
Skills
Java, Scala, Spark, S3, Apache Iceberg, SQL, Data Governance, Data Quality, Data Architecture, GDPR
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