About the Role
We are seeking an experienced Tech Lead with robust Databricks expertise to drive the
implementation of Lakehouse architecture and
scalable ELT pipelines.
The role involves close collaboration with architects and stakeholders to deliver secure, high-
performance data solutions for banking
and financial services use cases.

Experience

- 5 to 10 years of overall experience in Data Engineering
- 3 to 4 years of hands-on experience in Databricks

Key Responsibilities
Develop and manage ELT pipelines using Databricks and implement Medallion Architecture (Bronze,
Silver, Gold
layers)

- Optimize PySpark jobs for performance, scalability, and cost efficiency
- Implement orchestration and CI/CD pipelines for data workflows
- Collaborate with architects and business stakeholders to translate requirements into technical





solutions

- Enforce data governance practices including RBAC, data masking, and compliance standards
- Mentor team members and ensure adherence to coding best practices

Required Skills

- Strong hands-on experience with Databricks, Apache Spark (SQL, Python), Delta Lake, and Unity

Catalog

- Experience with ELT pipelines, Databricks Workflows, and Azure Data Factory (ADF)
- Hands-on experience with cloud platforms (Azure preferred)
- Familiarity with streaming technologies such as Kafka or Azure Event Hubs

Preferred Certifications

- Databricks Associate or Professional Certification
- Microsoft Azure DP-203

📌 Senior Lead Databricks - Mumbai/Pune/Bengaluru (7+ Years)
🏢 Informica Solutions
📍 Bengaluru