Data Architect - Data Engineering 4D

3502 Servicios Internacionales De Atencion Al Cliente, Limitada; Gurugram District; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Genpact is seeking a Data Architect to design and govern big data architectures that power AI and analytics initiatives. You will collaborate with data engineers, data scientists and product teams to deliver scalable data platforms, ensure security, and optimize performance across cloud-based data solutions.

The ideal candidate has strong experience with large-scale data architectures, Databricks, Spark, and cloud data services, and thrives in a fast-moving, innovation-driven environment.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Experience with large-scale data solutions and data governance.

Responsibilities

• Create and maintain architecture for big data systems for performance and reliability.
• Develop data strategies for large-scale data solutions.
• Collaborate with cross-functional teams to translate data requirements into scalable designs.
• Optimize data storage, retrieval, and processing workflows.
• Ensure data security, integrity, and governance compliance.
• Evaluate and adopt new technologies to enhance analytics capabilities.

Skills

Data Engineering

Big data architectures

Cloud computing

AI/ML understanding

Cross-functional collaboration

Security & governance

Education

Bachelor’s degree in Computer Science, Analytics or related field

Master’s degree in Data Science or equivalent

Tools

Databricks

Spark

Azure Data Engineer

SQL

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.

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}

Language

English (Required)

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

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.