Hybrid Principal Data Architect for AI & Big Data

Genpact Ltd.; New York (NY); Hybrid; USD 165,000 - 235,000; Full time

Job summary

Genpact Ltd. is seeking a Principal Data Architect to lead the design and implementation of scalable big data solutions. You will oversee data architecture strategies, ensure data integrity, and optimize data management for high performance.

You will guide data engineering teams, evaluate new technologies, and stay ahead of industry trends to deliver cutting-edge analytics across global enterprises.

Qualifications

• BS in analytics, CS, statistics or related with strong data focus.
• MS in data science or equivalent preferred.
• Certifications in data management or cloud data engineering are a plus.

Responsibilities

• Develop and implement data architecture strategies to support business goals.
• Lead 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 datasets.
• 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

Big Data

Data Architecture

Data Modeling

ETL

Spark

Azure Databricks

Data Engineering

Cloud Computing

Education

Bachelor's - Business Analytics

Bachelor's - Computer Science

Bachelor's - Statistics

Master's - Data Science

Tools

Databricks Platform

Azure

Job description

Genpact Ltd. is seeking a Principal Data Architect to lead the design and implementation of scalable big data solutions. You will oversee data architecture strategies, ensure data integrity, and optimize data management for high performance.

You will guide data engineering teams, evaluate new technologies, and stay ahead of industry trends to deliver cutting-edge analytics across global enterprises.