Hands-on role building and operating production data solutions on Databricks (Delta Lake, Unity Catalog) using SQL, Python/PySpark and streaming technologies (Kafka/Kinesis/Event Hubs). Partner with stakeholders to translate requirements, prototype and productionize data pipelines, backend APIs, dashboards, and governance, while implementing CI/CD, monitoring, and data-quality controls.

Owner of scalable data and ML pipelines and core Databricks platform components (Delta Lake, Unity Catalog, Workflows). Requires 6+ years in data/platform/ML engineering, strong Python and SQL skills, Databricks and PySpark expertise, experience operationalizing ML (MLflow, training/deployment), and working with cloud data platforms (AWS/Azure/GCP).