Senior Staff Engineer, Enterprise Data Platform

Sandisk; Milpitas (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Sandisk seeks a hands-on Senior Staff Engineer to lead the design, implementation, and modernization of its enterprise data platform. You will own data governance, lakehouse architecture, and end‑to‑end pipelines spanning cloud and on‑prem environments.

You will build Databricks Lakehouse platforms using Delta Lake and Iceberg, design modern ELT/ETL pipelines, and drive data ingestion from ERP, CRM, IoT, and external APIs. A strong emphasis on governance, metadata, and security guides decisions.

Qualifications

• 9+ years of hands-on experience in data architecture, engineering, and analytics delivery.
• Proven success building modern data platforms on cloud (AWS, Azure, GCP).
• Deep knowledge of data lakehouse architectures (Databricks, Fabric).
• Proficiency with Python, SQL, Spark, and orchestration frameworks.
• Experience with ETL/ELT tools (Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).
• Strong background in data modeling (ERD, star/snowflake, canonical models).
• Demonstrated familiarity with REST APIs, GraphQL, and event-driven design.
• Experience integrating AI/ML and GenAI components into data platforms.

Responsibilities

• Define and evolve the target data architecture across the stack including governance and lakehouse in cloud/on‑prem environments.
• Translate business goals into scalable platform designs and maintain architectural roadmaps.
• Bridge between architects, data engineers, and analytics teams for alignment with standards and SOX compliance.
• Build and maintain Databricks Lakehouse platforms using Delta Lake, Iceberg, or equivalent technologies.
• Design and implement modern ELT/ETL pipelines using Spark, Python, SQL, Scala, and cloud-native components.
• Lead data ingestion from ERP, CRM, IoT, and third‑party APIs.
• Implement data governance with lineage, metadata management, and access controls.
• Mentor engineers and collaborate with DevOps to embed CI/CD across the data lifecycle.

Skills

Data architecture

Data engineering

Python

SQL

Spark

ETL/ELT tools

Docker

Kubernetes

Data modeling

Tools

Databricks

Delta Lake

Iceberg

Fivetran

Snowflake

BigQuery

Job description

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.

Description

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.

Essential Duties And Responsibilities

Architecture & Strategy

• 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, BigQuery).
• 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 DevOps to embed CI/CD, version control, and environment automation across the data lifecycle.
• Continuously assess and improve platform reliability, scalability, performance, and cost‑efficiency

Qualifications

• 9+ years of hands‑on experience in data architecture, engineering, and analytics delivery.
• Proven success in building modern data platforms on cloud (AWS, Azure, GCP).
• Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric).
• Proficiency with Python, SQL, Spark, and orchestration frameworks.
• Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).
• Strong background in data modeling (ERD, star/snowflake, canonical models).
• Familiarity with REST APIs, GraphQL, and event‑driven design.
• Demonstrated experience integrating AI/ML and GenAI components into data platforms.

Preferred

• 15+ years of experience including solution architecture roles for large‑scale data initiatives.
• Experience with BI/visualization tools like Power BI, Tableau, and Looker.
• Understanding of Master Data Management, data profiling, cleansing, and enrichment techniques.
• Exposure to DataOps and DevOps practices for CI/CD and platform automation.
• Strong analytical and problem‑solving skills with the ability to communicate clearly to both technical and business audiences.
• Knowledge of high‑tech business domains such as engineering, sales, finance, supply chain, or semiconductor operations is a strong plus.
• Knowledge of SAP and SAP-BDC a plus

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender‑related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non‑discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.