Lead Data Architect (India)

About the Role

We are seeking a Lead Data Architect to design and deliver enterprise-grade Master Data Management (MDM) and AI-readiness frameworks using Reltio, Informatica, and MCP-based integration patterns. This role involves leading the architecture of modern MDM programs that unify business data, enrich metadata context, and enable real-time, agentic intelligence across cloud and on-premises systems.

Responsibilities

• Lead the design of multi-domain MDM and metadata architectures using Reltio and Informatica as the foundation.
• Define how MCP-based data contracts and semantic layers connect master data, metadata, and AI agents.
• Architect data governance and lineage frameworks that make enterprise data AI-ready and context-aware.
• Establish blueprints for data mastering, identity resolution, survivorship, and context propagation across systems.
• Drive the delivery of complex MDM modernization projects with distributed teams.
• Translate business challenges into scalable, governed data architectures.
• Oversee implementation quality, design reviews, and metadata alignment across programs.
• Mentor data engineers and consultants on modern data architecture principles and MDM best practices.
• Partner with product owners, data governance, and AI teams to ensure architecture aligns with business data strategy.
• Evangelize the use of Model Context Protocol (MCP) to connect structured and unstructured data through metadata-driven APIs.
• Contribute to internal frameworks and accelerators that unify governance, observability, and AI orchestration layers.

Requirements

Required Qualifications

• 10+ years in Data Architecture, including 4+ years in MDM design and delivery.
• Deep understanding of data modeling, data governance, and metadata-driven architectures.
• Strong experience in Informatica IDMC and Reltio MDM solution design (or equivalent enterprise MDM platforms).
• Proven track record in delivering complex, multi-domain data programs with business-critical outcomes.
• Familiarity with contextual integration patterns or agentic AI architectures is a plus.

Preferred Qualifications

• Exposure to data fabric, MCP-based integration, or AI-readiness frameworks.
• Demonstrated ability to lead architecture workshops, solution reviews, and enterprise governance sessions.
• Strong analytical, problem-solving, and design thinking skills.
• Excellent written and verbal communication; ability to interface with senior stakeholders.
• Comfortable working across business, IT, and AI strategy teams in a matrixed organization.
• Experience mentoring and scaling architecture and data engineering teams.

Benefits

• Remote/hybrid work model (based in India).
• Opportunity to shape next-generation AI-ready data architecture at the intersection of MDM, metadata, and contextual intelligence.
• Involvement in global programs integrating Informatica, Reltio, and MCP-driven orchestration frameworks.
• Potential for long-term growth and impact in building governed, autonomous data ecosystems.