Data Architect - Data Engineering 4D

1401 Genpact India Pvt. Ltd.; Ahmedabad District; Hybrid; INR 1,800,000 - 2,600,000; Full time

Job summary

Genpact in Gujarat operates as a leading data and AI solutions provider, seeking a Data Architect to lead the architecture for large-scale data solutions and AI initiatives. You will design and implement scalable data platforms, collaborating with cross-functional teams to meet complex data needs.

This role emphasizes data governance, security, and the evaluation of new technologies to enhance analytics capabilities across global client engagements in a fast-moving, hybrid work environment.

Qualifications

• Bachelor's degree in Computer Science, Statistics, or related field.
• Industry certifications in data engineering or data management are a plus.
• Experience with large-scale data architectures and governance.

Responsibilities

• Create and maintain the architecture for big data systems to ensure performance, scalability, and reliability.
• Develop and implement data strategies for large-scale data solutions.
• Design and maintain data architecture for big data systems.
• Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.
• Optimize data storage and retrieval processes for efficiency and performance.
• Ensure data security, integrity, and compliance with data governance policies.
• Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.

Tools

Databricks

Azure Data Engineer

Oracle

Job description

Data Architect Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description Responsibilities

They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.

Roles and Responsibilities

• 1. Develop and implement data strategies for large-scale data solutions;
• 2. Design and maintain data architecture for big data systems;
• 3. Collaborate with cross-functional teams to understand data requirements and design appropriate solutions;
• 4. Optimize data storage and retrieval processes for efficiency and performance;
• 5. Ensure data security, integrity, and compliance with data governance policies;
• 6. Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

Required Skills

Data Quality Framework, Data Quality Management, Finance Industry, SAP Master Data Governance, SAP Modules Language English Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - Data Engineering Remote Type - Hybrid Work Shift - Flex Time (India)

Why join Genpact?

• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands‑on experience, mentorship, and world‑class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day
• 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

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.

We're an agentic and advanced technology solutions company that runs mission‑critical operations for the world's leading companies, while building and deploying the agentic products and technology that power those operations. Our teams bring deep expertise to shape what AI can do and change how businesses actually run. Join us to build the career you want — and be on it because you'll be in it. At Genpact, your expertise grows because you're inside the work. Whether you build AI systems or bring deep knowledge of how businesses run, you'll work on real challenges that change how the world's leading companies operate. There's a lot to learn here, and room to grow.