About this role

Role: Data Bricks Infra Engineer 

Location: Gurgaon (5 days mandatory work from office) 

Type: Full-time 

Experience: 8+ years 

Key Responsibilities

 • Design, build, and maintain secure connectors and pipelines between Databricks workspaces (Delta Lake, Unity Catalog) and Model Context Protocol (MCP) servers. 

• Implement and configure MCP servers/clients to expose Databricks data, schemas, and analytical tools securely to AI models and LLM applications. 

• Optimize data retrieval, caching mechanisms, and query performance between Databricks and LLM orchestration frameworks to minimize latency. 

• Ensure all data exposed through the MCP server adheres to strict enterprise data governance, access controls, and Unity Catalog permissions. 

• Partner with AI/ML engineers, data scientists, and software architects to define the context, tools, and prompts required for LLM applications to effectively query Databricks. 

• Establish robust logging, error-handling, and monitoring for the Databricks-MCP middleware to ensure high availability and reliability. 

Must-Have Skills 

• Proven, hands-on experience building, configuring, or extending MCP servers (using Python or TypeScript/Node.js SDKs) to connect LLMs to external data sources. 

• Deep production experience with Databricks (Delta Lake, Unity Catalog, Databricks SQL, and Managed MLflow 

• Strong understanding of SSE (Server-Sent Events), WebSockets, and JSON-RPC 2.0 protocols, which underpin MCP communication

 • Design, build, and maintain secure connectors and pipelines between Databricks workspaces (Delta Lake, Unity Catalog) and Model Context Protocol (MCP) servers. 

• Implement and configure MCP servers/clients to expose Databricks data, schemas, and analytical tools securely to AI models and LLM applications. 

• Optimize data retrieval, caching mechanisms, and query performance between Databricks and LLM orchestration frameworks to minimize latency. 

• Ensure all data exposed through the MCP server adheres to strict enterprise data governance, access controls, and Unity Catalog permissions. 

• Partner with AI/ML engineers, data scientists, and software architects to define the context, tools, and prompts required for LLM applications to effectively query Databricks. 

• Establish robust logging, error-handling, and monitoring for the Databricks-MCP middleware to ensure high availability and reliability. 

Graduate in Computer Science, Data Science, or related field. 8+ years of experience in data engineering or a related field.

Frequently Asked Questions

Is the salary disclosed for the Lead Assistant Manager position at EXL Talent Acquisition Team?
The salary for this Lead Assistant Manager role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Lead Assistant Manager position at EXL Talent Acquisition Team located?
This Lead Assistant Manager role at EXL Talent Acquisition Team is based in Bengaluru, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Lead Assistant Manager position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Lead Assistant Manager job at EXL Talent Acquisition Team posted?
This Lead Assistant Manager position at EXL Talent Acquisition Team was posted on Jul 7, 2026. Apply as soon as possible — early applications are often reviewed first.
Lead Assistant Manager
EXL Talent Acquisition Team
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