Data Architect

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Access Control
Accessibility
Analytics
Cloud Computing
Cloud Security
Data Architecture
Data Governance
Data Lake
Data Marts
Data Modeling
Data Quality
Data Warehouse
Database Administration
IT Architecture
Microsoft Azure
Optimization
Performance Tuning
Python
Regulatory Compliance
SQL
Windows PowerShell
Workflow

Job Details

Enterprise Data Architect (Azure)

  • Location: Remote
    Level 2 background screening required
  • No third party inquiries

We re seeking an Enterprise Data Architect to lead the design and optimization of enterprise-wide data systems for a large-scale government environment. This role focuses heavily on Azure cloud data services, scalable data modeling, secure architecture, and the delivery of high-quality, consumable data products across the organization.

If you enjoy building modern data ecosystems, establishing standards, and creating efficient, intuitive data pipelines this is your spot.

What You ll Do

  • Design enterprise data models, data lakes, data marts, and operational data stores

  • Define data architecture standards, governance practices, and naming conventions

  • Lead implementations of secure, scalable Azure-based solutions

  • Build, optimize, and maintain data pipelines and workflows (Synapse, Data Factory, etc.)

  • Improve Azure performance, reliability, and cost efficiency

  • Implement Data Vault 2.0 methodologies (Wherescape experience highly valued)

  • Design and optimize fact/dimension models and SQL code

  • Enhance data quality, accessibility, and governance processes

  • Deliver trusted, consumable data via information marts and curated layers

  • Document technical architecture, processes, and troubleshooting procedures

  • Partner with technical and business stakeholders to align data solutions to needs

  • Promote security best practices and compliance across all data lake resources

What You Bring

  • 7+ years working with large-scale, complex database management systems

  • Deep hands-on experience with Azure Synapse Analytics, Azure Data Factory, and related Azure data tools

  • Strong expertise in data modeling, data warehousing, and pipeline engineering

  • Proven ability to design and maintain production-grade data pipelines

  • Strong SQL development and performance tuning skills

  • Experience with Data Vault 2.0 and Wherescape (preferred)

  • Knowledge of data governance, access controls, and cloud security standards

  • Ability to communicate clearly with technical and non-technical audiences

  • Proficiency in Python or PowerShell (preferred)

Education

  • Bachelor s or Master s degree in Computer Science, Information Systems, or related field

  • Equivalent professional experience considered

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.