Sr. Data Architect
Genpact is an agentic and advanced technology solutions company that leverages process intelligence and artificial intelligence to deliver measurable outcomes for global enterprises.
Responsibilities
They are responsible for ensuring that data solutions meet business needs, align with technology strategies, and comply with data governance and security standards.
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, or Masters - Data Science
Certifications
BUILD-IT/Google Cloud - Genpact, Certified Data Management Professional - Riversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBM, Informatica Certified Designer - Informatica
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, 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) — Proficiency: C2
Job Type
Regular, Hybrid, Day Job (United States of America)
Master Skill List: Data Engineering
Compensation
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 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.
