Mandatory Skills : Databricks, Pyspark, Automation & IaC (Terraform, Python/Go/TypeScript), Kafka

Exp : Above 10 Years

Location (Hybrid): Hyd, Bangalore, Pune

Note : please share only Immediate to 15 days candidates

Solid hands-on experience in Databricks Lakehouse & Medallion Architecture (Bronze, Silver, Gold)

Expertise in building Lakebase-driven reusable data platform foundations

Experience with modern Databricks services: ZeroBus, Lakebridge, Lakebase, Unity Catalog, DLT

Ability to design and implement scalable batch & streaming data pipelines (PySpark, Delta Lake)

Proven experience in automation (CI/CD, Terraform, DevOps, metadata-driven pipelines)

Robust background in developing reusable accelerators and frameworks

Experience in data governance, quality, and lineage (Unity Catalog, Outstanding Expectations)





Exposure to event-driven architectures and real-time ingestion (Kafka/Event Hubs)

Strong understanding of manufacturing domain, including IoT/Sensor data ingestion (SCADA, OPC-UA, MQTT) into Databricks

Experience in data sharing and collaboration using Delta Sharing and secure data exchange mechanisms

Proficiency in cloud platforms (Azure, AWS, or GCP) with strong experience in data storage, integration, and analytics services

Ability to support pre-sales, solution design, and client architecture discussions

Strong focus on performance optimization, scalability, and cost efficiency

📌 Databricks Architect (Bengaluru)
🏢 Cygnus Professionals
📍 Bengaluru