Fabric Architect
Indexed description
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.
Recruiting for this role ends on 9/19/26.
Work You'll Do
As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of modern data and analytics solutions for client engagements. In this role, you will 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
- 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 supporting deal pursuit and shaping activities, including defining architecture, migration patterns, and implementation approaches
- 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
- Limited immigration sponsorship may be available
- Experience with Databricks, Snowflake, Google BigQuery and Redshift
- Experience in consulting and client-facing delivery roles
- Experience in creating critical collaterals for client workshops and customer interactive sessions
- Experience presenting technical content to both large and small audiences
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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