Sr Databricks Architect

We are hiring a Sr Databricks Architect
Experience: 10yrs+
Mode: Hybrid (2 days)
Location: Bangalore
Notice Period: Immediate to 15 Days
10+ years of overall IT experience, with significant experience in Data Engineering and Data Architecture.
Strong hands-on experience in Azure Databricks, Python, PySpark, and SQL.
Proven experience architecting and developing reusable, metadata-driven Python frameworks.
Strong expertise in enterprise data modeling and complex data pipeline design.
Experience leading Data Engineering teams while remaining actively involved in hands-on development.
Working knowledge of Pharmaceutical / Life Sciences data and business processes
Strong problem-solving, technical ownership, communication, and stakeholder management skills.
Azure Databricks Architecture: Strong hands-on experience with Azure Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, Databricks Workflows/Jobs, and Databricks Asset Bundles (DAB). Experience designing scalable, secure, and production-ready Databricks solutions.
Advanced Python & PySpark: Expert-level proficiency in Python, PySpark, and SQL, with the ability to independently develop, review, troubleshoot, and optimize complex data engineering solutions. Must be comfortable contributing directly to code development.
Reusable Python Framework Development: Proven experience architecting and developing modular, reusable, configuration-driven Python frameworks for data ingestion, transformation, validation, orchestration, and automation. Strong understanding of metadata-driven design, configurable business rules, extensible components, and reusable execution engines.
Data Modeling & Architecture: Strong experience in conceptual, logical, and physical data modeling, relational and dimensional modeling, schema design, source-to-target mappings, CDC, SCD Type 2, and historical data processing. Ability to independently design complex data models and develop SQL DDL scripts.
Lakehouse Data Engineering: Experience designing and implementing Bronze, Silver, and Gold data architectures, Delta tables, scalable ETL/ELT pipelines, incremental processing, and enterprise data transformation frameworks.
Real-Time & Batch Data Processing: Hands-on experience building batch and streaming ingestion pipelines using Spark Structured Streaming, Auto Loader, Azure Event Hubs, Delta Change Data Feed (CDF), and related technologies

Skills
Databricks, Python, Azure, SQL, Data Modeling, ETL, Apache Spark

Work arrangement
Hybrid