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EXL

Lead Assistant Manager

EXL

Data Bricks Infra Engineer designing and maintaining secure connectors for Databricks workspaces in Gurgaon. Collaborating with AI/ML engineers to optimize data retrieval and performance.

Posted 7/7/2026full-timeGurgaon • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining secure data pipelines and connectors between Databricks and MCP servers, with a strong focus on data governance and performance optimization. Proficient in collaborating with AI/ML engineers and data scientists to enhance LLM applications through effective data exposure and query mechanisms.

Highest-signal resume keywords
Databricks ExperienceMCP Server ConfigurationData GovernancePython ProgrammingTypeScript/Node.js SDK

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringDelta LakeUnity CatalogDatabricks SQLManaged MLflowSSE ProtocolWebSocketsJSON-RPC 2.0Data OptimizationQuery Performance
Tools & Technologies
DatabricksMCP ServersAI ModelsLLM Applications
Industry Keywords
Data GovernanceAccess ControlsEnterprise DataMiddlewareError Handling

Tech Stack

Tools & technologies
JavaScriptNode.jsPythonSQLTypeScriptUnity

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Graduate in Computer Science, Data Science, or related field
  • 8+ years of experience in data engineering or a related field.
  • 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

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development