Data Management Solution Architect

Job description

Job Description – Data Management Solution Architect Experience: 9–12 Years Role Type: Solutioning + Emerging Architecture + Advisory Role Summary We are seeking a strong MDM-centric Data Management Architect to solution design enterprise-grade Master Data Management solutions while contributing to broader Data Governance, Data Quality, and Modern Data Platform initiatives. This role is expected to: • Anchor MDM design + implementation (core ownership) • Support data governance, quality, and security integration • Contribute to modern data architectures (Fabric / Mesh) • Gradually step into solutioning and client-facing roles Core Responsibilities 1. Master Data Management Design and implement multi-domain MDM solutions (Customer, Product, Vendor, Reference Data) & PIM (Product Information Management) solutions Define Golden Record strategy (match, merge, survivorship, hierarchies) Build data models, domain structures, and entity relationships Implement: Data onboarding (batch + real-time ingestion) Match rules, workflows, stewardship processes Hierarchy & relationship management Integrate MDM with: Source systems (ERP, CRM, APIs) Downstream analytics platforms MDM + Data Quality Convergence Implement pre- and post-MDM DQ frameworks (profiling, standardization, validation) Design DQ rules library aligned with MDM entities Support data cleansing, enrichment, standardization at ingestion layer Enable continuous DQ monitoring and KPI reporting Data Governance Enablement (MDM-Driven) Align MDM implementation with enterprise data governance policies Support: Data catalog integration Business glossary & metadata mapping Stewardship workflows (approval, exception handling) Ensure data ownership, lineage, and lifecycle visibility (critical for governance adoption) Data Security & Compliance (MDM Core Data Protection) Implement access control (RBAC), masking, sensitive data handling Ensure compliance for PII/reference data domains Support audit trails, data access monitoring Modern Data Platform Integration Integrate MDM with modern data platforms (Lakehouse/Warehouse) Work with: Databricks / Snowflake data pipelines Data ingestion, transformation, and API frameworks Enable MDM as a service layer (API-first / event-driven) Support Data Fabric integration (unified access layer) Data Mesh & Data Product Alignment Support adoption of Data Mesh principles: Domain-aligned master data ownership Data-as-a-product mindset Ensure MDM acts as core trusted data product provider Collaborate with domain teams for data product publishing Data Observability & Monitoring Implement data quality & pipeline monitoring (freshness, completeness, failures) Enable issue detection → root cause → remediation workflows Contribute to automated alerts and dashboards Solutioning & Client Interaction (Emerging Capability) Participate in: Solution design discussions Effort estimation and technical proposals Support client workshops and requirement discovery Contribute to POCs, demos, and accelerators Expected: execution-heavy with growing consulting exposure Mandatory Skills (Strong MDM Spine) Deep expertise in: Master Data Management (must-have core strength) Data Quality & Data Governance fundamentals Hands-on experience in at least one: Informatica MDM / Reltio / Profisee / Stibo / Ataccama/ Semarchy Strong understanding of: Data modeling, matching algorithms, survivorship Integration patterns (ETL/ELT, APIs, streaming) Experience with: One cloud platform (Azure/AWS/GCP) Databricks OR Snowflake Good to Have Exposure to: Data catalog tools (Collibra, Purview, Alation) Data security frameworks Initial experience in: Presales / proposals / architecture discussions AI exposure: Smart matching / deduplication DQ automation Behavioral Expectations Strong problem-solving mindset (data inconsistencies → resolution approaches) Ability to translate business rules into MDM logic Good stakeholder communication (business + IT) Execution-focused with architecture inclination Qualifications B.Tech / BE / MCA / Equivalent Certifications (good to have): MDM tool certifications Cloud & AI certifications ====================================================================================