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Genpact

Architect – Enterprise Application

Genpact

. Define and validate target architecture for Data Agents, including data access patterns, governance, security, and scalability .

Posted 9/22/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $80,000 - $100,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in semantic modeling and enterprise data architecture, with a strong focus on AI-powered data access and governance. Capable of strategic thought leadership and tactical design in collaboration with enterprise architecture stakeholders.

Highest-signal resume keywords
Semantic ModelingEnterprise Data ArchitectureAI-Powered Data AccessData GovernanceMicrosoft Certified Power Platform

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ArchitectureData GovernanceData SecurityScalabilityCross-Dataset RelationshipsData Agent Design PatternsAnalytics FoundationCross-Domain OrchestrationStrategic Thought LeadershipTactical Design
Soft Skills
CollaborationStrategic ThinkingCommunication
Tools & Technologies
Microsoft IQMicrosoft GraphData Agents
Certifications & Qualifications
Microsoft Certified Power PlatformTOGAF 9 Certification
Industry Keywords
Enterprise ArchitectureData Access PatternsGovernanceSecurityScalability

About the role

Key responsibilities & impact
  • Define and validate target architecture for Data Agents, including data access patterns, governance, security, and scalability
  • Evaluate and design the semantic layer for Borrowers, Investors, Facilities, and Sponsors
  • Define and govern cross-dataset relationships within the semantic layer to mitigate hallucination risk
  • Partner with Enterprise Architecture to guide design and build of initial Phase 1 Data Agents
  • Support planning for Phase 2, including Microsoft IQ, Graph capabilities, row-level security, and cross-domain orchestration
  • Establish a trusted foundation for analytics and AI consumption
  • Shape architecture strategy and execution with enterprise architecture stakeholders

Requirements

What you’ll need
  • Deep, demonstrated experience in semantic modeling and enterprise data architecture
  • Strong background in AI-powered data access and Data Agent design patterns
  • Experience with modern data architectures, including data governance, security, and enterprise-scale scalability
  • Familiarity with Microsoft data/AI ecosystem, including IQ and Graph capabilities, is a plus for Phase 2 alignment
  • Ability to work directly with enterprise architecture stakeholders to shape strategy and execution
  • Senior-level architect capable of strategic thought leadership and tactical design/build guidance
  • Bachelor’s degree in Computer Engineering, Computer Science, or Information Technology, or Master’s degree in Software Engineering
  • Microsoft Certified Power Platform certification
  • TOGAF 9 Certification
  • English required; proficient at C2 level
  • Must be based in the United States; Los Angeles, California-based candidates are not eligible

Benefits

Comp & perks
  • Hands-on experience, mentorship, and world-class learning opportunities
  • AI-powered transformation and innovation opportunities
  • Values-driven culture based on integrity and inclusion
  • Equal opportunity employment