Senior Principal Consultant- Data Architect!

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 Senior Principal Consultant- Data Architect!
Requirements:
Strong knowledge of ESG (Environmental and Sustainability Governance) reporting standards and digital frameworks. Experience with data architecture, cloud platforms, and ESG analytics tools.

Key Responsibilities:

1. Design the ESG architecture framework aligning with global standards
Collaborate with sustainability, compliance, and IT teams to define ESG data flows and integration points.

2. Design the ESG architecture framework aligning with global standards
Collaborate with sustainability, compliance, and IT teams to define ESG data flows and integration points. (Exp. in Sphera Gensuite etc)

1. Design, develop, and maintain scalable and efficient data architecture solutions.
2. Provides subject matter expertise on data architecture
3. Accountable for the design and implementation of changes to the solution architecture
4. Awareness of the movement, enhancement, integration, quality and availability of data throughout the enterprise
5. Accountable for improving the consistency, timeliness, quality, security and delivery of data
6. Establish relationships of the data within the systems underlying variables that could be influencing the process
7. Collaborate with cross-functional teams to gather and analyze requirements for data integration and storage.
8. Develop and implement data models, data flows, and data integration processes.
9. Ensure high availability, security, and performance of data architecture in Azure.
10. Focus Areas:
11. Data Architecture
12. Data Governance Assessment
13. Data definition and mapping
14. Data & Integration Strategy
15. Data governance and security.
16. Collaboration and communication skills.

Qualifications we seek in you!
Minimum Qualifications:
17. Bachelor%27s degree in Computer Science, Information Systems, or a related field.
18. experience in data architecture and design.
19. Hands-on experience with Azure services, particularly Azure Data Factory.
20. Key Skill Sets:
21. Data Architecture
22. Data Governance Assessment
23. Data definition and mapping
24. Data & Integration Strategy
25. Ability to translate data standards into data architecture requirements and provide impact assessments
26. Experienced in data extraction and data analysis
27. Knowledge of relation and dimensional models
28. Strong understanding of data governance, data quality, and data security principles.
29. Familiarity with SQL and NoSQL databases.
30. Excellent problem-solving and analytical skills.
31. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Preferred Qualifications:
32. Master%27s degree in Computer Science, Information Systems, or a related field.
33. Azure certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert.
34. Experience with other Azure services, such as Azure Data Lake, Azure Data Warehouse, or Azure Analysis Services.
35. Experience with data migration and integration projects.
36. Knowledge of data visualization and reporting tools.
37. Experience with version control systems and CI/CD pipelines.

Why join Genpact
. Lead AI-first transformation - Build and scale AI solutions that redefine industries
. Make an impact - Drive change for global enterprises and solve business challenges that matter
. Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
. Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
. Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build
. Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let's build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.