Data Architect

Design and architect enterprise-scale Databricks Lakehouse platforms. Build scalable data pipelines using Databricks, PySpark, Python, and SQL. Lead modernization, governance, and performance optimization of data platforms. Enable AI/ML integration and real-time data processing. 6–9 years in Data Engineering/Data Architecture. Strong hands-on Databricks, Python, SQL, PySpark. Experience with Delta Lake, Medallion Architecture, Spark, Kafka, Airflow, and cloud (Azure/AWS/GCP). Exposure to Unity Catalog, DLT, MLflow, or Lakehouse/AI workloads is a plus.