Senior Staff Engineer, Enterprise Data Platform

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

We are seeking a hands‑on Senior Staff Engineer, Enterprise Data Platform to lead the design, implementation, and modernization of our enterprise‑wide data platform—including data governance, lakehouse architecture, engineering pipelines, analytics, and AI‑driven solutions. This role requires deep technical expertise, strategic vision, and executional leadership to build a scalable, governed, and intelligent data ecosystem across cloud and on‑prem environments.

• Define and continuously evolve the target data architecture across the stack—Data Governance, data engineering, data modeling and Databricks lakehouse in Azure and GCP
• Translate business and technical goals into scalable and resilient platform designs.
• Own and maintain architectural roadmaps, standards, and decision frameworks.
• Act as the bridge between architects, Business SME/Analysts, data engineers, and analytics teams to ensure alignment and compliance with platform standards. Data Engineering & Platform Delivery
• Build and maintain Databricks Lakehouse platforms using Delta Lake, Iceberg, or equivalent technologies.
• Design and implement modern ELT/ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud‑native components (e.g., Fivetran, Databricks, Snowflake, Big Query).
• Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third‑party APIs.
• Guide hands‑on development of robust, reusable, and automated data flows in Azure and GCP Governance, Metadata, and Quality
• Implement and enforce data governance frameworks including data lineage, metadata management, and access controls.
• Partner with Data Stewards and Governance Analysts to catalog data domains, define entities, and ensure SOX compliance.
• Drive adoption of tools like Atlan and Unity Catalog for metadata, quality, and stewardship.
• Develop data models (ERDs, dimensional and 3NF) and define canonical data representations.
• Define and maintain Data Products including end to end data flows, Data Lineage, Data Access and Data Catalog Collaboration & Leadership
• Review solution designs and provide architectural guidance to engineering teams.
• Mentor technical staff while fostering best practices and continuous improvement.
• Collaborate with Dev Ops to embed CI/CD, version control, and environment automation across the data lifecycle.
• Continuously assess and improve platform reliability, scalability, performance, and cost‑efficiency

• 9+ years of hands‑on experience in data architecture, engineering, and analytics delivery.
• Proven success in building modern data platforms on cloud (AWS, Azure,…