Data Architect Fabric Platform Lead

We are one of the largest tea and coffee manufacturers in North America, with a mission to create a better beverage experience for our customers. As a leading customer solutions provider to some of North America's largest retailers and food service chains, we use state-of-the-art technology and new product innovation to help our customers grow their business and deliver superior products to their clientele.

Our team of coffee and tea experts are deeply passionate about what we do, proud of our 100+ years of business success, and excited about building a future with endless possibilities. Come join our team and work among the best, collaborate with high performers, and contribute to challenging work every day!

The Role:

Reporting to the Senior Manager - BI Analytics & Applied AI, the Data Architect & Fabric Platform Lead is responsible for defining and governing the enterprise data architecture and Microsoft Fabric platform. This role provides technical leadership for data engineering, platform modernization, governance, and solution design, ensuring scalable, secure, and reliable data foundations that support reporting, analytics, AI, and business decision-making.
The position will lead the evolution of Mother Parkers' Microsoft Fabric ecosystem, establish enterprise architecture standards, drive modernization initiatives, and mentor technical resources while partnering with business and technology teams to deliver high-quality data solutions. The role is accountable for the Data Engineering & Platform capability within the BI organization.
What you get to do:
Own the enterprise data architecture roadmap and Microsoft Fabric platform strategy.
Translate business requirements into scalable target-state architectures, solution designs, and implementation roadmaps.
Design and govern One Lake, Lakehouse, Data Warehouse, Medallion Architecture (Bronze, Silver, Gold), Data Pipelines, Semantic Models, and enterprise data products.
Architect and support enterprise data platforms that enable reporting, analytics, automation, and AI initiatives.
Design and govern parameterized ingestion frameworks supporting batch, incremental, and near real-time integrations from databases, APIs, files, ERP systems, and other enterprise applications.
Optimize data pipeline, semantic model, and query performance through modern engineering practices, partitioning strategies, incremental loading, Direct Lake architecture, and scalable design patterns.
Define and implement CI/CD, deployment automation, source control, and environment management practices using Azure Dev Ops and Microsoft Fabric deployment capabilities.
Establish data engineering standards, reusable frameworks, technical governance processes, and best practices across the BI organization.
Define and enforce standards for data quality, security, metadata management, lineage, documentation, data dictionary, and lifecycle management.
Manage Microsoft Fabric and Azure platform utilization, capacity planning, performance monitoring, and cloud cost optimization.
Support data governance, cybersecurity, compliance, and enterprise architecture initiatives across the analytics landscape.
Define and govern AI-ready data architectures that support Machine Learning, Generative AI, Copilot, and enterprise AI initiatives.
Provide architecture guidance for AI, advanced analytics, and data science workloads to ensure scalability, governance, and security.
Establish technical standards for reusable AI-ready datasets and enterprise data products.
Lead architecture reviews, code reviews, technical mentoring, and knowledge-sharing initiatives across data engineering and analytics teams.
Partner with business stakeholders, BTS teams, and solution leads to ensure technical solutions align with business objectives and enterprise standards.
Evaluate emerging technologies and recommend innovative approaches that improve scalability, governance, automation, and business value.
Drive modernization efforts, including migration and optimization of legacy BI, database, and integration solutions into Microsoft Fabric.
What you bring to the role:
Bachelor's degree in computer science, Information Technology, Software Engineering, Data Engineering, Information Systems, or a related discipline or equivalent.
7+ years of experience in Data Architecture, Data Engineering, Data Warehousing, Business Intelligence, or related disciplines.
Minimum 2-3 years of experience serving as a Data Architect, Technical Lead, or Senior Data Engineering…