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Data Modeler

Upward Talent
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
dice.com

Tech stack

Information Engineering Data Integration Extract Transform Load (ETL) Data Structures JSON SQL Databases Snowflake Semi-structured Data Physical Data Models

Job description

  • Design and maintain conceptual, logical, and physical data models for enterprise platforms
  • Translate business requirements into scalable data structures and solutions
  • Develop and optimize SQL queries for analytics and reporting
  • Implement and manage data models within Snowflake environments
  • Apply JSON and semi-structured data modeling techniques
  • Collaborate with cross-functional teams across business and technology

Requirements

  • 6-10 years of experience in data modeling or data engineering roles
  • Strong expertise in data modeling, SQL, and Snowflake
  • Experience working with JSON and semi-structured data formats
  • Understanding of data integration and ETL processes
  • Experience in financial services or regulated environments preferred
  • Strong communication and stakeholder management skills

About the company

Our client, a top-tier management consulting firm, is seeking a Senior Data Modeler to design and optimize enterprise data models using SQL, Snowflake, and modern data modeling techniques to support financial systems and analytics.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · WWC 2025

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WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

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32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Tips and Tricks for Working with JSON thumbnail
8:30
LIVE • almost 2 years ago

Tips and Tricks for Working with JSON

Dan Cranney

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means thumbnail
12:42
WWC Europe 2026 • about 1 month ago

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Celeste Horgan

Introducing JSON Structure thumbnail
31:01
WWC Europe 2026 • about 1 month ago

Introducing JSON Structure

Clemens Vasters

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