Senior AI Platform Engineer – Enterprise Data & ML Ops

Aimlroles; Palo Alto (CA); On-site; USD 138,000 - 183,000; Full time

Job summary

Stanford Health Care is seeking a Senior Enterprise Data Engineer to design, build, and optimize complex data pipelines and data structures used by analysts across the SHC enterprise.

The role partners with Data Scientists and other engineers on DevOps, SecOps, and FinOps, implementing automated IaC and robust monitoring to ensure AI/ML solutions remain accurate and valuable over time.

Qualifications

• BS/BA degree in Information Technology, Information Systems, Business Analytics, or related field required.
• 7+ years in reporting, analytics, BI or healthcare tech OR 3+ years in cloud data lake tech with DevOps/CI/CD.
• Advanced knowledge of relational databases and data modeling; strong SQL and data governance.

Responsibilities

• Collaborate with leaders to design, test and implement complex data stores and pipelines based on business needs.
• Maintain performance of standard data modeling, DevOps, and development tools and processes.

Skills

Relational databases

Data modeling

Cloud data platforms

SQL

DevOps

Performance tuning

Root cause analysis

Communication

Project leadership

Education

BS/BA in Information Technology or related field

Tools

Azure

DataBricks

GitHub

Notebooks

PySpark

Job description

Stanford Health Care is seeking a Senior Enterprise Data Engineer to design, build, and optimize complex data pipelines and data structures used by analysts across the SHC enterprise.

The role partners with Data Scientists and other engineers on DevOps, SecOps, and FinOps, implementing automated IaC and robust monitoring to ensure AI/ML solutions remain accurate and valuable over time.