Design and deliver enterprise-grade Master Data Management (MDM) and AI-readiness frameworks using Reltio, Informatica, and MCP-based integration patterns. Lead the architecture of modern MDM programs that unify business data, enrich metadata context, and enable real-time, agentic intelligence across cloud and on-premise ecosystems. Translate business challenges into scalable, governed enterprise data architectures.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Company Description
ASKINCORP INC. is a leading IT services and staff augmentation company specializing in expert consulting, software development, and tailored staffing solutions. With a team of experienced professionals, we provide expertise in cloud computing, cybersecurity, artificial intelligence, automation, and a variety of technologies. We prioritize innovation, collaboration, and excellence to deliver customized solutions that help businesses of all sizes achieve their goals. From technical staffing to full-scale software development, we offer services designed to meet the evolving needs of our clients. Partner with us to navigate the complexities of the digital age and drive success in your IT initiatives.
About the Role
Note: Only Candidates from Hyderabad, Telangana, India.
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 will lead the architecture of modern MDM programs that unify business data, enrich metadata context, and enable real-time, agentic intelligence across cloud and on-premise ecosystems.
Key Responsibilities
- Lead the design of multi-domain MDM and metadata architectures using Reltio and Informatica.
- Define MCP-based data contracts and semantic layers connecting master data, metadata, and AI agents.
- Architect data governance, lineage, and metadata frameworks to enable AI-ready and context-aware data.
- Establish blueprints for data mastering, identity resolution, survivorship, and context propagation.
- Drive delivery of MDM modernization initiatives with geographically distributed teams.
- Translate business challenges into scalable, governed enterprise data architectures.
- Oversee implementation quality, design reviews, and metadata alignment across programs.
- Mentor data engineers and consultants on modern data architecture and MDM best practices.
- Collaborate with product owners, governance teams, and AI stakeholders to align architecture with data strategy.
- Evangelize Model Context Protocol (MCP) usage to integrate structured and unstructured data.
- Contribute to internal frameworks and accelerators across governance, observability, and AI orchestrationlayers.
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Required Qualifications
- 10+ years of experience in Data Architecture, with at least 4+ years in MDM design and delivery.
- Strong expertise in data modeling, data governance, and metadata-driven architectures.
- Hands-on experience with Informatica IDMC and Reltio MDM (or equivalent enterprise MDM platforms).
- Proven success delivering large-scale, multi-domain data programs.
- Solid understanding of enterprise data integration and system modernization.
- Familiarity with agentic AI architectures or contextual integration patterns is a plus.
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Preferred Qualifications
- Exposure to data fabric, MCP-based integration, or AI-readiness frameworks.
- Experience leading architecture workshops, design reviews, and governance forums.
- Strong analytical, problem-solving, and design-thinking capabilities.
- Excellent communication skills with the ability to engage senior stakeholders.
- Comfortable working across business, IT, and AI strategy teams in matrixed environments.
- Experience mentoring and scaling architecture and data engineering teams.
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Benefits & Opportunities
- Remote or hybrid work model (India-based).
- Opportunity to shape next-generation, AI-ready data architectures.
- Work on global initiatives integrating Informatica, Reltio, and MCP-driven orchestration frameworks.
- Long-term growth potential in building governed, autonomous data ecosystems.
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