Staff AI Data Transformation Architect

What you'll do

• Set the Data AI roadmap and build repeatable adoption practices, evaluation frameworks, training, and success metrics.
• Own AI tooling operations, including access, integrations, governance, observability, and spend management.
• Architect production AI data capabilities, including RAG, vector-based architectures, and enterprise context layers, with Databricks and AWS.

What they ask for

• 8+ years scaling AI data solutions, products, or technology adoption beyond pilots into sustained organization-wide practice with measurable outcomes.
• Hands-on administration of at least one enterprise AI productivity tool, including user/group management and configuration troubleshooting.
• Experience with enterprise data platforms, AI/LLMs, role-based access models, and permissions across multi-domain or regional zones.
• Ability to influence senior stakeholders and operationalize responsible AI guardrails with Security, Privacy, and Legal.

Nice to have

• Databricks Certified Administrator or Databricks Certified Data Engineer certification.
• Experience with ML workflows, dbt, FinOps, or production LLM/RAG data architectures.

Pay

Region 1: $198,050 - $233,000 USD base salary; Region 2: $180,200 - $212,000 USD base salary; Region 3: $169,150 - $199,000 USD base salary

Tools

Databricks, AWS, Cursor, Claude, ChatGPT Enterprise, Glean, Gemini, MLflow

AI focus

Company-wide AI adoption and governance, enterprise AI productivity tooling, LLM-powered reporting, RAG, multi-agent workflows, and production-scale Agentic AI.