About the role
Hands on Knowledge of Databricks - Delta Lake, Unity Catalog, Lakeflow, Lakebase, Databricks Apps, Workflows, job
scheduling, ETL/ ELT pipeline orchestration and more
Strong understanding of Databricks architecture (control plane vs data plane, workspace model)
Experience with Cluster sizing, autoscaling, and workload-based optimization, Cost estimation and performance tuning
and FinOps
Building CI/CD pipelines and Declarative Automation Bundle (DAB) implementation
Exposure to AI/ML/LLM integrations within Databricks ecosystem (MLflow, external LLM APIs)
Strong understanding of cloud landing zone concepts (subscription design, governance, policies)
Understanding of enterprise security architecture for data platforms
Cloud platforms: Azure / AWS / GCP
Data modeling: Dimensional, Data Vault
Data warehousing
API and data integration patterns