Enterprise Architect

Location: Vasanthanagar

Role Overview
We are looking for a  Senior MDM Architect  with strong experience in designing and delivering enterprise Master Data Management solutions.

The right candidate will have experience shaping  MDM strategy, architecture, data models, governance, and implementation approaches  across one or more master-data domains such as  Customer, Product, Supplier, Organization, or Location .
This role is not limited to working with an MDM tool. We are looking for someone who understands how MDM works as an  enterprise capability  — connecting business processes, data governance, source systems, master data, and downstream applications.
You should be comfortable taking a business requirement, understanding the data landscape, and defining how master data should be structured, governed, mastered, and consumed across the enterprise.

Key Responsibilities
Define and drive  enterprise MDM strategy, architecture, and implementation approach  based on business requirements.
Design  canonical master data models  covering entities, attributes, relationships, hierarchies, identifiers, and reference data.
Define  Golden Record  strategies, including source-of-truth decisions, matching and merging, survivorship, and enterprise identifiers.
Analyze source systems and define  source-system crosswalks, mappings, and master-data integration patterns .
Define  data-quality rules, validation standards, governance processes, and stewardship workflows  for master data.
Design MDM architecture and integration patterns for consuming and publishing master data across enterprise applications.
Define how master data should flow between  source systems, MDM, data platforms, and downstream applications .
Develop conceptual, logical, and physical data models and translate them into technical designs.
Work closely with business stakeholders, data teams, integration teams, application teams, governance teams, and engineering teams to drive MDM solutions end to end.
Provide architectural guidance during MDM implementation and ensure the solution aligns with the defined enterprise model and governance framework.
Explain and defend MDM design decisions based on  business processes, data characteristics, source-system capabilities, and enterprise requirements .
Support the definition of implementation methodology, roadmap, standards, and reusable MDM patterns.
Must-Have Skills
Strong experience as an  MDM Architect / Enterprise Data Architect / Solution Architect  with significant enterprise MDM experience.
Hands-on experience designing  MDM strategy, architecture, and implementation approaches .
Strong understanding of:
Master data entities and attributes
Relationships and hierarchies
Canonical master models
Golden Records
Matching and merging
Survivorship rules
Enterprise identifiers
Source-system crosswalks
Data quality
Data governance and stewardship
MDM integration and downstream consumption
Experience working with multiple enterprise source systems and complex data landscapes.
Experience in at least one major MDM domain such as  Customer, Product, Supplier, Organization, or Location .
Strong data modeling and architecture skills, with the ability to translate business requirements into practical MDM designs.
Ability to work with both business and technical stakeholders and communicate complex MDM concepts clearly.
Ability to  walk through a real MDM solution you have architected , including the business problem, data model, source systems, Golden Record approach, matching/merging, survivorship, governance, and integration architecture.
Preferred Skills

Experience with one or more MDM platforms such as:
Informatica MDM, Reltio, SAP MDG, Semarchy, Profisee, Stibo, Ataccama , or similar MDM technologies.
Platform-specific expertise is  desirable but not mandatory . Strong enterprise MDM architecture, data modeling, governance, and solution-design experience is more important than expertise in a particular MDM product.

Experience with  data quality, data integration, enterprise data governance, stewardship, and downstream data consumption  will be an advantage.