Senior Staff Engineer, Enterprise Data Platform
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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.
- 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
About Sandisk
Specialist in NAND flash memory and data storage solutions.
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