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# Remote Data Architect

- **Company:** Insight Global
- **Location:** Broomfield, CO, United States
- **Salary:** $156,000.0 - $170,560.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Business Systems, Program Optimization, Continuous Integration, Data Architecture, Data Transformation, Data Sharing, Dataspaces, Data Systems, Data Warehousing, Dimensional Modeling, Python (Programming Language), SQL Databases, Data Processing, Snowflake, Data Management, Virtual Agents, Data Pipelines, Databricks, Golang, Microservices
- **Published:** June 12, 2026
- **Apply:** https://dejobs.org/x/x/2076487E6F8B48C09A528F0EA4AC8421/job/

## About the Role

Proven experience in a Data Architect, with real ownership of architecture decisions and systematic design

Strong hands-on experience with Databricks in production environments

Extensive experience working in an Azure-based data ecosystem

Advanced proficiency in SQL for performant data transformation and querying

Strong Python skills, including working with data pipelines, APIs, and data processing logic

Deep understanding of dimensional modeling, including star and snowflake schemas

Ability to work across multiple initiatives and collaborate effectively with cross-functional teams

Experience with Golang or Java, or similar language Experience with Agentic AI

Experience supporting or leading enterprise system migrations

Familiarity with Snowflake as a downstream analytics or data sharing platform

Exposure to microservices-oriented data architectures

Experience improving or maintaining CI/CD pipelines for data platforms

Knowledge of modern data quality monitoring practices and tooling

## Description

In this role, you will design, extend, and support enterprise data architectures primarily on Azure and Databricks, balancing the maintenance of a recently modernized platform with the delivery of new data solutions across multiple high-impact initiatives. You will develop and maintain dimensional data models to support analytics and reporting, write high-quality and performant SQL and Python code, and integrate data from APIs and near-real-time sources as needed. Working closely with engineering, analytics, and business teams, you will translate evolving source systems and business requirements into scalable, well-governed data architectures while supporting multiple concurrent initiatives as both a hands-on contributor and a subject matter expert. Day to day, you will also apply and promote modern best practices in data architecture, data quality, CI/CD, and platform optimization, contributing to continuous improvement efforts as business systems and data needs evolve.


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