MDM Data Architect

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.