Company Name

GENPACT ( Gurgaon )

Job Description

• Job Description:
  • Ready to build the future with AI
  • At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges.
  • If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
  • Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
  • Inviting applications for the role of Assistant Vice President, Data Architect
  • The Assistant Vice President (AVP) - Data Architect is a senior leadership role responsible for defining, governing, and evolving the enterprise data architecture across cloud and hybrid environments. The role requires deep expertise in Snowflake, Databricks, AWS, Azure, and modern data engineering platforms. The AVP will drive the data strategy, ensure adherence to architectural best practices, and enable scalable, secure, and highperformance data solutions that support analytics, AI/ML, and digital transformation initiatives.
  Responsibilities:
  • Enterprise Data Architecture
  • Lead enterprise-wide data architecture strategy, frameworks, and roadmaps supporting business transformation and advanced analytics.
  • Architect highly scalable data platforms leveraging Snowflake, Databricks, AWS, Azure, and other cloud-native services.
  • Define data models, canonical structures, data flow patterns, and data integration strategies.
  • Evaluate and select tools, technologies, and platforms aligned to long-term business goals.
  • Cloud Data Engineering & Platforms
  • Design and optimize cloud data lakehouses, data marts, and warehouse environments.
  • Drive endtoend architecture for real-time, batch, and event-driven data ingestion pipelines.
  • Ensure best practices in infrastructure-as-code, data ops, CI/CD, and automation for data workloads.
  • Optimize performance, cost, and scalability across multi-cloud environments.
  • Governance, Quality & Security
  • Establish standards for data governance, metadata management, data lineage, and data quality frameworks.
  • Partner with security teams to design secure architectures aligned with regulatory needs (GDPR, HIPAA, PCI, etc.).
  • Define policies for access control, encryption, and sensitive data protection across platforms.
  • Leadership & Stakeholder Management
  • Lead a team of data architects and senior engineers mentor and upskill cross-functional data teams.
  • Collaborate with business leaders, product owners, and technology stakeholders to align architecture with strategic objectives.
  • Present architectural proposals, trade-offs, and roadmaps to executive leadership and technology committees.
  • Innovation & Continuous Improvement
  • Stay current with cloud data capabilities, AI/ML advancements, and emerging technologies.
  • Drive PoCs, innovation programs, and modernization of legacy platforms into cloud-native solutions.
  • Promote reusable architecture patterns and accelerators across the enterprise.

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