Data Architect

ColonialWebb•Richmond, VA

8d•$140,000 - $165,000

About The Position

The Data Architect will shape ColonialWebb’s enterprise data roadmap and deliver the company’s first production solutions using Microsoft Fabric and related tools. The role assesses existing data systems, integrations, reporting, data flows, ownership, quality, security, and constraints, and partners with business and technology teams to identify priorities and future analytics needs. The position defines and maintains a practical enterprise data architecture and phased roadmap, selecting Microsoft Fabric capabilities for each use case. It also builds, tests, and deploys production data solutions; establishes standards for data integration, modeling, governance, security, quality, and platform operations; and integrates Penta Software and other enterprise systems to support reliable reporting and self-service analytics. The architect tracks platform reliability, data quality, adoption, and business value, maintains clear documentation, communicates technical tradeoffs to stakeholders, and protects confidential company and employee information.

Requirements

Five or more years of relevant experience in data architecture, data engineering, enterprise data management, business intelligence, analytics engineering, or a comparable role.
Experience assessing complex data environments and designing practical target architectures and phased roadmaps for data lakes, lakehouses, warehouses, or cloud analytics platforms.
Hands-on experience building and deploying data solutions, including integration and transformation, testing, source control, release practices, and production support or monitoring.
Strong knowledge of data architecture and modeling, governance, data quality, metadata, lineage, security, access controls, and enterprise integration.
Ability to translate business needs into technical priorities.

Nice To Haves

Experience with Microsoft Fabric, OneLake, Power BI, Azure data services, or similar cloud platforms.
A related bachelor’s degree or equivalent education and experience.
Relevant certifications.
Experience integrating enterprise systems.

Responsibilities

Assess data systems, integrations, reporting, data flows, ownership, quality, security, and current constraints.
Partner with business and technology teams to identify priorities and future analytics needs.
Define and maintain a practical enterprise data architecture and phased roadmap, selecting suitable Microsoft Fabric capabilities such as OneLake, lakehouses, warehouses, pipelines, notebooks, and semantic models.
Build, test, and deploy production Fabric solutions, including data ingestion and transformation, reusable data models, source control, release practices, and production monitoring.
Create standards for data integration, modeling, governance, metadata, lineage, quality, retention, access, security, recovery, monitoring, and cost management.
Work with business and IT leaders to clarify data ownership and stewardship.
Integrate Penta Software and other enterprise systems to support reliable reporting, self-service analytics, and future business needs.
Track platform reliability, data quality, adoption, and business value, and improve the capability over time.
Document systems, data flows, models, standards, roadmaps, and architecture decisions.
Explain technical tradeoffs in terms stakeholders can use and protect confidential company and employee information.