Senior Data Platform Architect – Databricks, AI Governance

Viking; Los Angeles (CA); Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

Annual bonus

401(k) with match

ESPP

Medical, dental, vision insurance

Paid vacation and holidays

Cruise discounts

Gym membership

Travel discounts

Job summary

Viking in Woodland Hills, CA seeks a Senior Data Platform Architect to design, operate, and secure the Azure Databricks platform powering finance, revenue, marketing and booking across the business.

You will own end-to-end platform architecture, Unity Catalog governance, ingestion pipelines, and AI-assisted engineering standards, reporting to the Director, Customer Data and Identity Engineering. This hybrid role requires collaboration with BI, data science, and engineering teams.

Qualifications

• Strong end-to-end data platform experience.
• Expert Databricks Platform Design & Administration.
• ML platform administration knowledge.
• SQL query optimization and performance tuning.
• Python production data transformations (PySpark).

Responsibilities

• End-to-end platform architecture and implementation across deployment to production.
• Databricks & Unity Catalog administration including identity and permissions.
• Ingestion, orchestration and integration across Azure Data Factory and Databricks Workflows.
• AI-assisted engineering standards and harness enablement for safe code generation.
• AI/ML platform administration including MLflow and GPU compute standards.
• Security, access, and platform governance with Terraform CI/CD models.

Skills

Databricks Platform Design

SQL Expertise

Python (PySpark)

Azure Data Platform

Terraform & IaC

CI/CD

Data Governance

Security Best Practices

Data Integration

Tools

Unity Catalog

MLflow

Azure Data Factory

Databricks Workflows

Entra ID

Job description

Viking in Woodland Hills, CA seeks a Senior Data Platform Architect to design, operate, and secure the Azure Databricks platform powering finance, revenue, marketing and booking across the business.

You will own end-to-end platform architecture, Unity Catalog governance, ingestion pipelines, and AI-assisted engineering standards, reporting to the Director, Customer Data and Identity Engineering. This hybrid role requires collaboration with BI, data science, and engineering teams.