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# Principal Data Architect

- **Company:** Genpact
- **Location:** New York, NY, United States
- **Salary:** $210,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Computer Vision, Big Data, Cloud Computing, Collaborative Software, Data Architecture, Information Engineering, Data Governance, Data Integrity, Oracle Databases, Data Storage Technologies, Azure Data Factory, Apache Spark, Information Technology, Data Management, Data Pipelines, Databricks
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7335e8764d4ea6d2

## About the Role

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

Language Proficiency -
Advanced - C1

## 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. 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., 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


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