Jobs → Data & Analytics → Databricks Architect

About the Role We are actively looking for an experienced Databricks Architect to join a high-impact enterprise data transformation initiative. Key Responsibilities • Design and implement scalable Databricks Lakehouse solutions on AWS • Architect high-performance data pipelines and streaming solutions • Lead platform optimization, governance, security, and observability initiatives • Collaborate with Data Engineering, ML, BI, and business teams • Mentor engineers while remaining hands-on in architecture and implementation Requirements • 12+ years of overall IT experience • Strong expertise in Databricks Lakehouse Architecture on AWS • Deep experience with Spark, PySpark, SQL, Delta Lake, and Distributed Data Systems • Hands-on with Medallion Architecture (Bronze/Silver/Gold) • Expertise in Data Partitioning, Caching Strategies, ZORDER, OPTIMIZE, Auto Loader, and File Compaction • Experience handling multi-terabyte structured time-series datasets • Strong AWS knowledge including S3, Glue Catalog, IAM, Lambda, API Gateway, and Kinesis • Experience designing low-latency data delivery and serving-layer architectures • CI/CD, Git, DevOps, and Terraform expertise preferred • Databricks certifications are a plus