Principal Data Architect
Genpact (NYSE: G) is an agentic and advanced technology solutions company that leverages process intelligence and artificial intelligence to deliver measurable outcomes for global enterprises.
Responsibilities
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
Qualifications
•Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, or Masters - Data Science
Certifications
•Certified Data Management Professional - Riversand
•Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy
•Databricks Certified Associate Developer for Apache Spark - Databricks Academy
•Microsoft Certified: Azure Data Engineer Associate - Microsoft
•Oracle Database 12c Certified Implementation Specialist - Oracle
Required Skills
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) — Proficiency: Proficient - C2
Job Details
•Job Type: Regular
•Master Skill List: Data Engineering
•Remote Type: Hybrid
•Work Shift: Day Job (United States of America)
Compensation
The approximate annual base compensation range for this position is 210,000 to 300,000 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.
