The Data Architect and Fabric Platform Lead defines and governs enterprise data architecture and the Microsoft Fabric platform.
The role provides technical leadership for data engineering, platform modernization, governance, and solution design.
The position leads the Microsoft Fabric ecosystem, establishes architecture standards, mentors technical resources, and owns the Data Engineering and Platform capability.
Key Skills for This Role
Data architectureData engineeringMicrosoft FabricAzureOneLakeLakehouse architecture
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About Mother Parkers
Mother Parkers is a North American tea and coffee manufacturer and customer solutions provider serving retail and foodservice customers.
The company emphasizes technology, product innovation, collaboration, and continued business growth.
The role
The Data Architect and Fabric Platform Lead defines and governs enterprise data architecture and the Microsoft Fabric platform.
The role provides technical leadership for data engineering, platform modernization, governance, and solution design.
The position leads the Microsoft Fabric ecosystem, establishes architecture standards, mentors technical resources, and owns the Data Engineering and Platform capability.
What you get to do
Own the enterprise data architecture roadmap and Microsoft Fabric platform strategy.
Translate business needs into target-state architectures, solution designs, and implementation roadmaps.
Design and govern OneLake, Lakehouse, data warehouse, medallion architecture, pipelines, semantic models, and enterprise data products.
Support data platforms for reporting, analytics, automation, AI, and business decision-making.
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Design ingestion frameworks for batch, incremental, and near-real-time integrations from databases, APIs, files, ERP systems, and enterprise applications.
Optimize pipelines, semantic models, and queries through partitioning, incremental loading, Direct Lake, and scalable design patterns.
Implement CI/CD, deployment automation, source control, and environment management using Azure DevOps and Fabric.
Establish standards for data quality, security, metadata, lineage, documentation, dictionaries, and lifecycle management.
Manage Fabric and Azure capacity, utilization, monitoring, performance, and cloud cost optimization.
Define AI-ready architectures and datasets for machine learning, generative AI, Copilot, and advanced analytics.
Lead architecture reviews, code reviews, mentoring, and knowledge sharing.
Partner with business and technology teams and modernize legacy BI, database, and integration solutions.
What you bring
Bachelor's degree in a relevant technical discipline or equivalent.
7+ years of experience in data architecture, data engineering, data warehousing, business intelligence, or related disciplines.
2-3 years as a Data Architect, Technical Lead, or Senior Data Engineering Lead.
Experience designing enterprise-scale cloud data platforms.
Experience leading architecture initiatives, modernization programs, and technical teams.
Experience with Agile, Scrum, Kanban, or hybrid delivery methodologies.
Consumer-packaged goods, manufacturing, supply chain, or procurement experience is identified in the source description.