Fabric Architect

About the role

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses.

Responsibilities

• Lead the design and delivery of modern data and analytics solutions for client engagements.
• Bring genuine, hands-on, lived-in experience leading Microsoft Fabric implementation and migration engagements - spanning Lakehouse, Warehouse, and OneLake - applying practical, proven strategies to deliver scalable, production-grade unified data platforms.
• Lead small engagements or key workstreams within large, complex data and analytics transformations across industries.
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms.
• Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives.
• Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams.
• Support practice growth through proposal development and deal shaping, thought leadership and AI-driven accelerators, and coaching junior practitioners.
• Lead delivery of Microsoft Fabric implementation and migration engagements, applying practical, proven architecture and migration patterns across Lakehouse, Warehouse, and OneLake workloads.
• Own hands-on build of the Fabric environment and its unified data platform end-to-end across workloads, translating architecture decisions and recommendations into scalable, flexible, working implementations.
• Design and build out medallion (bronze/silver/gold) layers in Fabric, and implement role-based access control and data classification definitions.
• Stand up ETL/pipeline work using Spark Notebooks, Dataflow Gen2, Fabric Data Factory with close attention to lineage preservation.
• Advises across the full breadth of Fabric architecture - workspace organization/structure, CI/CD, data protection planes and best practices, capacity management, backup/DR strategy, and guidance on best fit Fabric items.
• Stay current with evolving data and analytics technology platform capabilities, proactively evaluating and applying new capabilities to client solutions.

Qualifications

• 6+ years experience with relevant technology project experience in data architecture, data engineering, enterprise architecture, or a related discipline.
• 3+ years hands-on experience architecting and delivering end-to-end Microsoft Fabric-based solutions, including lakehouse and warehouse implementations built on Delta Lake table formats, medallion architectures, ingestion pipelines, semantic models, and governance frameworks.
• Experience implementing Fabric governance and security constructs, including role-based access control (RBAC), data classification, data protection best practices, and integration with Microsoft Purview for enterprise data governance.
• A working understanding of the latest Microsoft Fabric platform capabilities - such as Fabric IQ, Ontology, Graph, and Real-Time Intelligence - and how to apply them to deliver business value, including grounding agentic AI experiences in enterprise semantic and ontology layers.
• Experience building ETL/pipeline solutions using Fabric Notebooks and/or Dataflow Gen2, with attention to data lineage preservation, and with dbt for transformation orchestration and modeling workflows.
• Experience with Fabric platform architecture, including workspace organization/structure, CI/CD and deployment pipelines (e.g., Fabric Git integration and deployment pipelines across dev/test/prod), capacity management, and backup/DR strategy.
• 4+ years hands-on experience with SQL/T-SQL and Python, including PySpark/Spark SQL for data transformation and analytics modeling, with working knowledge of REST API-based data ingestion and CI/CD practices (e.g., Azure DevOps, GitHub).
• 4+ years experience leading, managing and delivering complex AI&Data solutions engagements.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field.
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.