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# Data Modeler/Data Architect

- **Company:** Siri InfoSolutions Inc
- **Location:** Richardson, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Data Governance, Extract Transform Load (ETL), Data Vault Modeling, Data Warehousing, Database Design, Dimensional Modeling, Metadata, Metadata Standards, Performance Tuning, Enterprise Data Management, Google Cloud, Cloud Platform System, Azure Data Factory, Sql Optimization, Snowflake, Physical Data Models, Cloud Migration, Data Pipelines
- **Published:** June 4, 2026
- **Apply:** https://www.dice.com/job-detail/81c81243-0034-44e0-b905-a4d41ea10157

## About the Role

Data modelling and cloud working experience, We are seeking an experienced Senior Data Modeler (8+ years) with strong expertise in enterprise data warehousing and cloud-based data platforms. The role involves designing and implementing scalable, high-performance data models to support analytics, reporting, and cloud modernization initiatives., 8+ years in data modeling, data warehousing, and analytics

Strong expertise in:

 1. Dimensional modeling (Star & Snowflake)

 2. Data Vault modeling

Experience with cloud platforms:

 1. Snowflake (preferred)

 2. AWS / Azure data services

Strong understanding of:

 1. ETL/ELT processes

 2. Data pipelines and transformations

Expertise in:

 1. Advanced SQL

 2. Database design & performance tuning

Experience with data governance, lineage, and metadata tools

Strong analytical and problem-solving skills

## Description

Design and develop conceptual, logical, and physical data models for enterprise data warehouse and analytics platforms

Implement dimensional models (Star, Snowflake) and Data Vault models

Lead data modeling initiatives on cloud platforms (AWS, Azure, Google Cloud Platform)

Define source-to-target mappings and collaborate with ETL/ELT teams

Ensure data governance, lineage, and metadata standards

Optimize models for performance, scalability, and cost efficiency

Collaborate with business analysts, data engineers, DBAs, and governance teams


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