Databricks Architect

Technical Skills Required. Experience in Databricks platform Deep hands-on expertise with PySpark, Spark SQL, Delta Lake, and Databricks Workflows Proven experience architecting large-scale data pipelines on at least one major hyperscaler — AWS (S3, Glue, Redshift, Kinesis, EMR), Azure (ADF, ADLS, Synapse, Event Hubs), or GCP (Dataflow, BigQuery, Pub/Sub) Python and SQL — must be able to write and review code. Strong experience in data modeling, dimensional modeling, and lakehouse design patterns Demonstrated awareness of the evolving AI landscape — including LLMs, generative AI, AI coding assistants, and enterprise AI platforms Practical, hands-on experience using AI tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar) to improve personal and team productivity AI/ML capabilities — understanding how data assets enable AI-driven products and insights