Genpact
Sr. Data Architect - Data Engineering 3
3401-G LLC-CTK: 521 Fifth Avenue, New York, US · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$13,506 more — $113,506 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $113,506 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Database Architects" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Database Architects (15-1243) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Green-card follow-through: 90%
DOL often reclassifies their job titles
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- They are responsible for ensuring that data solutions meet business needs, align with technology strategies, and comply with data governance and security standards.
- Define data standards and best practices to ensure data quality and consistency
Responsibilities
- Develop and maintain data architecture blueprints, data flows, and data models; 2.
- Collaborate with stakeholders to understand data requirements and design data solutions; 3.
- 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.
- Lead AI-powered transformation - Drive innovation and solve real-world business challenges that matter
Requirements
- English (Required)
- Language Proficiency -
- Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
- Certifications
- BUILD- IT/GOOGLE CLOUD - GenpactGenpact, Certified Data Management Professional - RiversandRiversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures TechnologiesTechieventures Technologies, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Informatica Certified Designer - InformaticaInformatica
- 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, 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
- Proficient - C2
- Additional Job Location -
- Job Type
- Master Skill List -
Compensation
- Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Benefits
- Accelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
Visa & Work Authorization
- nd considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation
This listing is sourced directly from Genpact's careers page and normalized into a canonical job model.