Stand up and configure Databricks environments end-to-end—workspace and account architecture, Unity Catalog design, metastore strategy, cluster and SQL warehouse policies, networking (VPC/PrivateLink), IAM/SCIM, and cost governance.
Design and deploy medallion (bronze/silver/gold) data pipelines using Delta Lake, Auto Loader, Delta Live Tables / Lakeflow Declarative Pipelines, Structured Streaming, and CDC patterns.
Establish infrastructure-as-code and CI/CD foundations using Databricks Asset Bundles, Terraform, and GitHub Actions or Azure DevOps.
Build applied AI solutions on Mosaic AI—Agent Framework, Vector Search, Model Serving, MLflow—including conversational BI experiences (Genie, AI/BI, ai_query, SQL AI Functions) and LLM-assisted data integration workflows (schema matching, entity resolution, source-to-target mapping acceleration, PII detection).
Optimize Delta Lake performance (Z-order, liquid clustering, OPTIMIZE/VACUUM, schema evolution) and design for scalability, reliability, and cost efficiency.
Integrate Databricks with the broader enterprise stack via Lakehouse Federation, Delta Sharing, and zero-copy interop with Salesforce Data Cloud, Snowflake, and Microsoft Fabric.
Partner with functional and MDM/data governance leads so that platform decisions support downstream data quality, mastering, and stewardship workflows.
Document and communicate architecture decisions to internal and external stakeholders.
Establish and refine delivery accelerators, reference architectures, guardrails, and automated review patterns.
Lead technical workstreams, mentor data and ML engineers, and coach client technology partners.