Senior MDM Solutions Architect

Insight Global; Hyderabad; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

Insight Global is seeking an experienced data professional to lead enterprise data and MDM initiatives in Hyderabad. The role requires hands-on architectural leadership across data modeling, governance, and modern data platforms.

Strong SQL, Snowflake, and SAP master data experience are essential for designing scalable master data solutions. The ideal candidate will drive data quality, survivorship rules, and identity resolution, while guiding data stewardship and governance workflows within a

Qualifications

• Experience as a senior technical lead on enterprise data/MDM programs.
• Strong MDM knowledge: match/merge, survivorship, golden records, identity resolution, governance workflows.
• Extensive data modeling across ER, relational, dimensional, and hierarchy-based models.
• Hands-on SQL for data models, rules, and survivorship in a warehouse environment.
• Hands-on Snowflake and modern data architectures (RAW/STAGED/CURATED or Bronze/Silver/Gold).
• Experience building end-to-end data solutions and MDM frameworks, not just configuring tools.
• Data profiling, data quality, deduplication, reconciliation, exception handling, governance.
• Experience with SAP as a source system for master data domains.
• Python or other data engineering experience for enterprise-scale platforms.

Skills

MDM Architect

Data Architect

Solution Architect

Senior Technical Lead

Data Modeling

SQL Expertise

Snowflake

Data Warehousing

Data Governance

Python

SAP Master Data

Tools

Snowflake

SQL

Python

Job description

Required Skills & Experience

• Experience as a Solution Architect, Data Architect, MDM Architect, or senior technical lead on enterprise data or Master Data Management (MDM) programs.
• Strong understanding of Master Data Management concepts, including match/merge, survivorship rules, golden records, identity resolution, hierarchy management, data stewardship, and governance workflows.
• Strong data modeling experience across entity-relationship (ER), relational, dimensional, and hierarchy-based models, with the ability to design customer, party, or master data models from the ground up.
• Hands-on SQL expertise with experience designing and implementing data models, business rules, match/merge logic, and survivorship frameworks within a warehouse-native environment.
• Hands-on experience with Snowflake and modern data architectures, including RAW/STAGED/CURATED or Bronze/Silver/Gold data layers.
• Experience building enterprise data solutions and MDM frameworks rather than solely configuring commercial MDM platforms.
• Experience with data profiling, data quality rules, deduplication, reconciliation, exception handling, and data governance processes.
• Experience working with SAP as a source system, ideally involving customer, material, vendor, or product master data.
• Python or other data engineering experience supporting enterprise-scale data platforms.