Principal Data Architect

3502 Servicios Internacionales De Atencion Al Cliente, Limitada; New York (NY); Hybrid; USD 165,000 - 235,000; Full time

Benefits offered by this job

Hybrid work model

Equal Opportunity Employer

Job summary

Genpact is seeking a Principal Data Architect in the United States (Hybrid) to lead data architecture strategies for large-scale data systems. You will design, implement, and govern data pipelines, models, and governance to deliver scalable, high-performing data solutions that enable AI and analytics at scale.

You will mentor data engineering teams, collaborate with cross-functional partners, and stay ahead of industry trends in big data architectures.

Qualifications

• Bachelor's degrees in business analytics, computer science, or statistics.
• Master's degree in data science is preferred.

Responsibilities

• Develop and implement data architecture strategies to support business goals.
• Lead the design and implementation of big data solutions and data pipelines.
• Collaborate with cross-functional teams to gather requirements and design data models.
• Ensure data quality and integrity through data governance and data management best practices.
• Optimize data storage, processing, and retrieval for large-scale data sets.
• Evaluate and recommend emerging technologies and tools for big data processing and analytics.
• Provide technical guidance and mentorship to data engineering teams.
• Stay current with industry trends and best practices in big data technologies and architectures.

Skills

Data Engineering

Big Data

Cloud Computing

AI/ML

Education

Bachelor's degrees in Business Analytics, Computer Science, or Statistics

Master's in Data Science

Tools

Databricks Platform

Job description

Principal 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

The Big Data Principal Data Architect plays a crucial role in designing and implementing high-performing and scalable big data solutions. This role involves leading and overseeing the development of data architecture strategies, ensuring data integrity, and optimizing data management processes for optimal performance. In Roles and Responsibilities: 1. Develop and implement data architecture strategies to support business goals; 2. Lead the design and implementation of big data solutions and data pipelines; 3. Collaborate with cross-functional teams to gather requirements and design data models; 4. Ensure data quality and integrity through data governance and data management best practices; 5. Optimize data storage, processing, and retrieval performance for large-scale data sets; 6. Evaluate and recommend emerging technologies and tools for big data processing and analytics; 7. Provide technical guidance and mentorship to data engineering teams; 8. Stay current with industry trends and best practices in big data technologies and architectures.

Responsibilities

1. Develop and implement data architecture strategies to support business goals;
2. Lead the design and implementation of big data solutions and data pipelines;
3. Collaborate with cross-functional teams to gather requirements and design data models;
4. Ensure data quality and integrity through data governance and data management best practices;
5. Optimize data storage, processing, and retrieval performance for large-scale data sets;
6. Evaluate and recommend emerging technologies and tools for big data processing and analytics;
7. Provide technical guidance and mentorship to data engineering teams;
8. Stay current with industry trends and best practices in big data technologies and architectures.

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, Commercial Excellence, Commercial Modeling, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion {+ 28 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:165,300 to 235,000 USD

"Los Angeles California-based candidates are not eligible for this role"

The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.

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 EqualOpportunityEmployer and considers applicants for all positions without regard to race, color, re