Data Architect - Data Engineering 4D

1401 Genpact India Pvt. Ltd.; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Genpact is seeking a Data Architect to design and maintain scalable data architectures for large-scale data systems. The role involves shaping data strategies, collaborating with cross-functional teams, and driving secure, efficient data governance across AI-enabled solutions.

The candidate will work within Genpact's AI Gigafactory initiatives, contributing to cutting-edge data engineering and analytics capabilities in a dynamic, hybrid India work model.

Qualifications

• Bachelor’s or higher in a relevant field such as analytics, CS, or statistics.
• Experience designing and implementing data architectures for large-scale data systems.
• Familiarity with data governance, security, and compliance requirements.

Responsibilities

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

Skills

Data Engineering

Cloud Computing

Databricks Platform

Design Thinking

Information Security

Agile Methodology

Education

Bachelor's degree in Business Analytics

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

Databricks Platform

Azure Data Engineer

Oracle Database 12c

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

Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more}

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

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.