Senior Staff Engineer, Enterprise Data Platform - Milpitas, United States
Originally posted 23 September 2026 by the employer.
About the role
This role involves leading the design, implementation, and modernization of SanDisk's enterprise-wide data platform, including data governance, lakehouse architecture, engineering pipelines, analytics, and AI-driven solutions. The scope includes building a scalable, governed, and intelligent data ecosystem across cloud and on-prem environments with a focus on Databricks Lakehouse in Azure and GCP.
What you'll do
- Define and evolve the target data architecture across data governance, data engineering, data modeling, and Databricks lakehouse.
- Design and implement ELT/ETL pipelines using Spark, Python, SQL, Scala, and cloud-native components.
- Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third-party APIs.
- Implement and enforce data governance frameworks, including data lineage, metadata management, and access controls.
- Develop data models (ERDs, dimensional, and 3NF) and define canonical data representations.
- Review solution designs and provide architectural guidance to engineering teams.
What you'll need
- 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.
Nice to have
- 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.
- Knowledge of SAP and SAP-BDC.
Skills: data architecture, Databricks Lakehouse, ETL/ELT pipelines, data governance, cloud platforms
This role has been open 23 days — well below the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
976
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | SanDisk | All employers we track in this specialty (976 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 17 | 976 |
| Open roles in the wider Software, Firmware & Systems family | 59 | 6119 · 145 employers |
| Median days open | 87 d | 51 d (+36 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: data architecture, Databricks Lakehouse, ETL/ELT pipelines, data governance, cloud platforms
Who's hiring in this category
- NVIDIA · 281 open roles · median 46 d
- Qualcomm · 62 open roles · median 52 d
- AMD · 55 open roles · median 18 d
- Graphcore · 44 open roles · median 92 d
- Intel Corporation · 43 open roles · median 11 d
- Cerebras · 39 open roles · median 82 d
How we counted: 976 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.