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
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.
QualificationsGraduate in Computer Science, Data Science, or related field. 8+ years of experience in data engineering or a related field.
Skills Required
- Graduate degree in Computer Science, Data Science, or a related field
- 8+ years of experience in data engineering or a related field
- Hands-on experience building, configuring, or extending MCP servers using Python or TypeScript/Node.js SDKs
- Production experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, and Managed MLflow
- Strong understanding of SSE, WebSockets, and JSON-RPC 2.0 protocols
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
