Sr. Data Architect - Data Engineering

Sr. 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 ther 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  and on Linked In, You Tube, X, and Facebook.

Job Description Responsibilities They  are responsible for ensuring that data solutions meet business needs, align with technology strategies, and comply with data governance and security standards. In

Roles and Responsibilities:

1. Develop and maintain data architecture blueprints, data flows, and data models;
2. Collaborate with stakeholders to understand data requirements and design data solutions;
3. Define data standards and best practices to ensure data quality and consistency;
4. Evaluate and recommend new technologies and tools to support data management and analytics initiatives;
5. Lead data integration projects and oversee data migration efforts;
6. Provide guidance and expertise to data management teams on data architecture principles and practices;
7. Ensure compliance with data privacy regulations and security policies;
8. Conduct performance tuning and optimization of data infrastructure;
9. Stay current with industry trends and advancements in data architecture and analytics.

Qualifications Bachelors
- Business Analytics, Bachelors
- Computer Science, Bachelors
- Statistics, Masters
- Data Science

Certifications BUILD- IT/GOOGLE CLOUD
- Genpact Genpact, Certified Data Management Professional
- Riversand Riversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techie ventures Technologies Techie ventures Technologies, IBM Certified Solution Developer
- Web Sphere IIS Data Stage Enterprise Edition v7.5 - IBMIBM, Informatica Certified Designer
- Informatica Informatica 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
-Day Job (United States of America)
The approximate annual base compensation range for this position is:100,000 to 125,000 USD“Los Angeles California-based candidates are not eligible for this role”The actual offer, reflecting the total compensation…