Technical Architect, Databricks CoE
Overview:
As Technical Architect, you drive the technical strategy and real implementation for Databricks-based solutions. You'll lead architecture discussions, create reusable accelerators, and stay billable on strategic engagements while shaping the Data Intelligence Platform. You partner with client teams and GTM architects to win and deliver complex data programs across cloud platforms. This role combines hands-on design with governance, mentoring, and scalable reference architectures, across multiple industries.
Responsibilities:
- Lead architecture workshops, proofs of value, and client demos to win technical decisions
- Build and maintain reference demos for signature plays (e.g., Stars AI Navigator, Regulatory Compliance, Demand & Inventory, Predictive Maintenance, Churn & Ad Monetization)
- Architect Lakehouse and medallion architectures using Lakeflow, Databricks SQL, Unity Catalog, Genie, Agent Bricks, and Databricks AppsApply Terraform and CI/CD patterns; lead migrations from legacy DW to Lakehouse using Agentic Migration Factory and Lakebridge tooling
- Scope technical engagements with Bronze–Platinum consumption forecasts and credible DBU estimates
- Provide senior technical leadership on strategic client engagements, architecture reviews, governance, and mentoring
- Productize reusable accelerators, reference architectures, and Brickbuilder-ready assets; give product feedback
- Lead certification sprint, mentor delivery teams, and act as a Databricks Champion in the field
Key requirements:
- 15+ years in data and analytics architecture 5+ years hands-on Databricks (Delta Lake, Unity Catalog, Workflows/Jobs, Spark optimization)
- Databricks Professional-level certification (Data Engineer, ML or GenAI) or commitment to earn in 90 days
- Experience delivering multiple production Databricks programs on AWS, Azure, or GCP, including legacy DW migration
- Hands-on GenAI experience (RAG, Agent Bricks, evaluation and governance) and exposure to Databricks AppsStrong consulting-grade communication and ability to work with both technical and non-technical stakeholders
- Depth in BFSI or HLS domain
- Bachelor's degree in Computer Science or related field
- Willingness to travelconsulting-grade communicationproblem-solvingindependence/self-drive
- Databricks (Delta Lake, Unity Catalog, Workflows/Jobs, Spark optimization)
- Lakehouse architecture
Terraform