Sr. Data Architect
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- New York City, États-Unis
- New York, États-Unis
Résumé du poste par JobGrid
Sr. Data Architect at UpClear: New York City, États-Unis, New York, États-Unis; Sur site; Temps plein; Senior; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: New York City, États-Unis, New York, États-Unis, Sur site
- Role classification: IT, Ingénieur data, Temps plein, Senior
- Source freshness: checked by JobGrid on 2026-06-10.
- Application path: candidates continue to the employer application page with non-personal referral tags.
ABOUT UPCLEAR
UpClear delivers a SaaS revenue management platform that is used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear's global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore.
POSITION OVERVIEW
We are seeking a skilled Data Architect to design, optimize, and scale our data and reporting layers. This role is also open to contractors. You will focus on building a robust SQL-based data warehouse, improving data models for business intelligence, and leveraging Microsoft Fabric to create efficient, reliable data pipelines. The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics.
Please note: We are not able to provide sponsorship for employment authorization at this time.
This role requires 4 days on site collaboration per week. You must be able to commute to our West 22nd Street office in New York.
RESPONSIBILITIES
- Design and optimize data architecture to support scalable, high-performance reporting and analytics
- Develop and maintain SQL-based data warehouse structures
- Improve and standardize data models used for BI and reporting tools
- Build and manage data pipelines using Microsoft Fabric
- Ensure data quality, consistency, and governance across reporting layers
- Collaborate with business and analytics teams to translate requirements into efficient data solutions
- Identify performance bottlenecks and implement improvements in data storage and query performance
- Document data models, architecture, and processes