About this role

Architect and implement end-to-end data solutions using Databricks Lakehouse Platform
Design and develop scalable data pipelines using PySpark, Spark, and SQL
Lead cloud data platform implementations on AWS/Azure/GCP
Drive modernization of legacy data systems to cloud-native architectures
Implement Medallion Architecture (Bronze, Silver, Gold layers)
Ensure data governance, security, and compliance (especially for Financial Services)
Collaborate with business stakeholders, data scientists, and engineering teams
Optimize performance, cost, and reliability of data pipelines
Mentor and guide data engineering teams and provide architectural leadership.

12+ years of experience in Data Engineering / Data Architecture
Strong expertise in Databricks, PySpark, and Spark ecosystem
Hands-on experience with cloud platforms (Azure, AWS, or GCP)
Experience with data orchestration tools (Airflow, ADF, etc.)
Solid understanding of data modeling, ETL/ELT, and distributed systems
Experience with Delta Lake and Unity Catalog is a plus
Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets)
Excellent problem-solving and stakeholder management skills.

Senior Databricks Architect

Key skills