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fulltime·Sopra Steria

Data Architect

Noida, IndiaEstimated ₹17.8 - 35 LPA5 skills

This is our market estimate, based on AmbitionBox Sopra Steria Architect India (10-17 yrs). It is not the employer's disclosed pay.

Skills & Stack

Data modelingSemantic modelsData governanceSQLAnalytics

About the Role

Senior functional data architect (10+ yrs) defining semantic models and business data definitions for a data transformation program.

About Sopra Steria

IT consulting and digital services company.

What You'll Do

8 items
  • 1We are seeking a highly experienced Senior Functional Data Architect with 10+ years of experience to complement the Technical Data Architect on a strategic data transformation program. This role will focus on understanding business data, defining semantic models, establishing common business definitions, and ensuring data is meaningful, consistent, and usable across reporting, analytics, and AI initiatives. The Functional Data Architect will act as the bridge between business stakeholders, data teams, and solution architects
  • 2Develop a deep understanding of business processes, data domains, and data usage across the organization
  • 3Define and maintain business-focused data models, semantic layers, and business glossaries
  • 4Partner with business stakeholders to establish common definitions for key entities, metrics, KPIs, and master data
  • 5Work closely with Technical Data Architects to ensure functional and technical data models remain aligned
  • 6Lead data discovery, data mapping, and data lineage workshops
  • 7Support data governance, data quality, and master data management initiatives
  • 8Ensure reporting, analytics, and AI solutions are built on trusted and well-defined business data

What We're Looking For

  • 10+ years in Data Architecture, Business Analysis, Data Governance or Enterprise Applications
  • Strong expertise in data modeling, semantic modeling and business information architecture
  • Experience with Finance, HR, ERP, CRM or other enterprise business domains
  • Strong understanding of Master Data Management (MDM) and data governance
  • Any graduate

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