Fabric Architect

Recruiting for this role ends on 9/19/26.

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. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

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.
• Advise 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.
• Experience with dimensional modeling and star schema design in support of semantic models and BI reporting.
• 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.
• Experience