Data Architect

About This Role

This Data Architect role involves leading the design and initial delivery of an enterprise data platform and business intelligence roadmap. It is an opportunity to build a platform from the ground up, assessing the current data environment, setting a practical direction, and delivering the first production solutions. The role requires close collaboration with business and technology teams to create secure, scalable tools for trusted reporting, self-service analytics, and smarter decision-making.

Responsibilities

• Evaluate current systems, integrations, reporting, data flows, ownership, data quality, and security
• Partner with stakeholders to understand business priorities and define future analytics needs
• Develop the enterprise data architecture and a phased roadmap for implementation
• Choose the right Microsoft Fabric tools for each use case, including OneLake, lakehouses, warehouses, pipelines, notebooks, and semantic models
• Build, test, and launch initial data solutions, from ingestion and transformation through reusable models, source control, deployment, and production monitoring
• Set practical standards for data modeling, governance, metadata, lineage, quality, access, security, retention, recovery, monitoring, and cost management
• Connect Penta Software and other enterprise systems to support reliable business intelligence, operational reporting, and self-service analytics
• Monitor platform reliability, data quality, user adoption, and business value
• Improve the platform as needs evolve
• Document architecture and delivery decisions, communicate tradeoffs clearly, and safeguard confidential information

Requirements

• Five or more years of experience in data architecture, data engineering, enterprise data management, business intelligence, analytics engineering, or a related field
• Experience assessing complex data environments and designing practical architectures and roadmaps for data lakes, lakehouses, warehouses, or cloud analytics platforms
• Hands-on experience building and deploying data solutions, including integration, 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 and make sound recommendations across competing demands
• Strong analytical, organizational, documentation, facilitation, and communication skills

Nice to have:

• Experience with Microsoft Fabric, OneLake, Power BI, Azure data services, or a similar cloud platform
• Experience integrating ERP, field service, project, CRM, finance, HR, payroll, or other enterprise systems