Your client is moving to Fabric. Your bench isn't ready.
Microsoft Fabric is the fastest-growing data platform in the Microsoft ecosystem, and production-ready specialists are scarce. Xylity deploys Fabric Architects, Data Engineers, and Analysts from a pre-vetted network — giving you the capability to deliver Fabric projects without the six-month hiring cycle.
Most requested Fabric roles
Why Fabric talent is the hardest data role to fill right now
Microsoft Fabric unified what was previously a fragmented landscape — Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Power BI — into a single SaaS analytics platform anchored by OneLake. For enterprises, this simplification is transformative. For IT services companies trying to staff Fabric projects, it creates a uniquely difficult talent challenge.
The difficulty stems from Fabric's architectural novelty. A competent Fabric professional needs to understand lakehouse design patterns that differ fundamentally from traditional data warehouse approaches. They need fluency in OneLake's hierarchical namespace, shortcuts, and mirroring capabilities. They need to navigate Fabric's compute model — understanding when to use Data Warehouse SQL endpoints versus Spark notebooks versus Dataflows Gen2 versus KQL querysets. And they need to design semantic models using DirectLake mode, which behaves differently from both Import and DirectQuery in ways that affect everything from partitioning strategy to incremental refresh design.
This isn't a skill set that Power BI developers or even experienced Azure data engineers pick up in a weekend certification course. It requires production experience with the platform's specific patterns and trade-offs — and that production experience barely existed eighteen months ago.
Xylity's network includes 30+ Fabric specialists who have delivered production implementations across manufacturing, financial services, retail, and healthcare. Every specialist we propose has been evaluated for production-depth Fabric knowledge — not just certification completion or tutorial experience.
Fabric specialists ready for your projects
Every profile is curated against your specific project architecture — OneLake topology, data volume, latency requirements, and integration landscape.
Fabric Architect
Designs end-to-end data platform strategy on Microsoft Fabric. Defines OneLake domain structure, establishes lakehouse vs. warehouse patterns per workload, architects medallion layer topologies (bronze/silver/gold), designs data mesh governance frameworks, and optimizes capacity unit allocation across workspaces. Provides technical authority for complex decisions like mirroring strategy, cross-workspace lineage, and multi-tenant isolation patterns.
Fabric Data Engineer
Builds data pipelines, transformations, and orchestration workflows within Fabric. Develops Spark notebooks for complex transformations using PySpark and Spark SQL. Implements Data Factory pipelines for ingestion from diverse sources. Configures mirroring from Azure SQL, Cosmos DB, and Snowflake. Optimizes V-Order and Z-Order for Delta Lake tables. Implements incremental load patterns and handles schema evolution across medallion layers.
Fabric Analytics Engineer
Bridges data engineering and business intelligence within Fabric. Builds semantic models using DirectLake mode with proper partitioning and aggregation design. Creates composite models that combine Fabric datasets with external sources. Implements row-level security, calculation groups, and dynamic format strings. Designs Power BI reports optimized for DirectLake performance characteristics.
Fabric Migration Specialist
Plans and executes migrations from legacy analytics platforms to Fabric. Assesses existing Azure Synapse, Databricks, or on-premises SQL Server environments. Designs migration waves with dependency mapping. Converts SSIS packages to Data Factory pipelines. Migrates Synapse dedicated SQL pools to Fabric Warehouse or Lakehouse. Validates data integrity post-migration with automated reconciliation frameworks.
Fabric Real-Time Intelligence Engineer
Implements streaming analytics using Fabric's Real-Time Intelligence workload. Configures Eventstreams for data ingestion from Event Hubs, IoT Hub, and custom sources. Builds KQL querysets for real-time analysis. Designs Real-Time Dashboards with auto-refresh and alerting. Implements Activator triggers for business-critical threshold monitoring and automated response workflows.
Fabric + Power BI Developer
Creates production-grade analytical reports and dashboards powered by Fabric lakehouses. Expert in DirectLake optimization — partitioning strategies, framing, and fallback behavior. Builds paginated reports for operational distribution. Implements deployment pipelines for workspace promotion across dev/test/prod. Manages workspace-level governance including sensitivity labels and endorsement.
What makes our Fabric matching different
We evaluate for production depth
We don't match on certifications. Our technical screening for Fabric specialists includes architecture walk-throughs, OneLake design discussions, and scenario-based questioning on real production patterns — V-Order optimization, capacity throttling strategies, and cross-workspace data sharing challenges.
We match to your specific architecture
A Fabric project for a healthcare company using mirroring from Cosmos DB is fundamentally different from a retail company migrating from Synapse dedicated pools. We match specialists who have worked with your specific integration patterns and data volumes — not just "Fabric generalists."
We understand the platform's evolution
Fabric releases features monthly. Our team tracks platform changes — from Eventhouse GA to Copilot in Fabric to GraphQL API support — so we can evaluate whether candidates' skills are current or based on six-month-old patterns that the platform has already superseded.
How a data consulting firm launched their Fabric practice in under three weeks
The situation
A 75-person data consulting firm had built their reputation on Databricks and Azure Synapse implementations. When a major retail client asked them to lead a Fabric-native analytics platform rebuild, the firm faced a dilemma: say no and lose the account, or say yes without the talent to deliver.
Their existing team included strong Spark developers and Power BI experts — but nobody with production Fabric architecture experience. OneLake design, DirectLake semantic models, and Fabric's specific capacity management were all knowledge gaps.
What Xylity delivered
Xylity deployed a Fabric Architect and a Fabric Data Engineer within eight days. The architect designed the OneLake topology and medallion layer strategy in the first sprint. The data engineer began building pipelines from the client's existing Azure SQL and Cosmos DB sources by day three. The firm's internal Power BI team upskilled under the architect's guidance across the first month, creating a sustainable internal capability.
Your Fabric project shouldn't wait for the talent market to catch up.
Share your Fabric requirement — the architecture context, the timeline, the specific roles. We'll have curated specialist profiles in your inbox within 24 hours.