Hire a Fabric Architect
in 5 days.
The role that determines whether a Fabric deployment becomes a governed enterprise platform or a lakehouse experiment that never scales. Fabric Architects are the scarcest specialist in the Microsoft data ecosystem — and demand is accelerating faster than any certification program can produce supply.
What a Fabric Architect does
A Fabric Architect owns the platform-level decisions that shape every downstream workload. They design the OneLake topology — determining which lakehouses serve which business domains, how data flows between bronze, silver, and gold layers, and where the boundaries sit between self-service consumption and centrally governed pipelines.
This is not a reporting role. Fabric Architects work at the intersection of data engineering, infrastructure planning, and organizational governance. They decide how Fabric capacities are sized and allocated across departments. They design the security model that controls who can access what across lakehouse files and warehouse tables. They establish the integration patterns that connect Fabric to existing Azure Data Factory pipelines, Synapse workspaces, and on-premises sources during migration.
The best Fabric Architects have done this before in at least one production environment at enterprise scale. They understand the capacity unit economics — how CU consumption differs between Data Factory pipelines, Spark notebooks, and Direct Lake semantic models, and how to prevent runaway costs before they hit the monthly bill. They know when a warehouse endpoint outperforms a lakehouse for a given query pattern, and they can articulate the trade-offs to a CTO without defaulting to Microsoft documentation.
Why this role is hard to fill right now
Microsoft Fabric reached general availability in late 2023, which means the total population of architects with production deployment experience is measured in the low thousands globally. Certification alone does not produce competence here — the DP-600 exam covers concepts, not the architectural judgment that comes from running a multi-terabyte lakehouse under real enterprise load. Most candidates who claim Fabric experience have completed proofs-of-concept or training environments, not production governance at scale. The gap between a Fabric-certified professional and a Fabric-experienced architect is twelve to eighteen months of hands-on deployment.
How Xylity fills this role
Our network includes Fabric architects who were early adopters during the public preview period and have since delivered production implementations across healthcare, manufacturing, and financial services. We evaluate candidates on actual deployment decisions — OneLake topology choices, capacity governance models they built, and how they handled the transition from legacy Synapse or ADF architectures. We match the architect to your specific scale and industry, not just their certification status.
Where this role gets deployed
Enterprise lakehouse rollout
Designing multi-domain OneLake topology with medallion layers, workspace isolation, and capacity governance for a 5,000+ user organization.
Legacy migration
Migrating existing Azure Synapse and Data Factory workloads into Fabric while maintaining production continuity and SLAs.
Hybrid analytics platform
Architecting a platform where Fabric, Power BI, and existing data warehouses coexist with clear data lineage and shared governance.
What to look for when interviewing
These are the dimensions our consultants evaluate when screening Fabric Architect candidates. Use them as a guide during your own interviews.
Production scale
Have they managed Fabric at F64 capacity or above with multiple concurrent workloads?
Capacity economics
Can they explain CU consumption trade-offs between Spark, Data Factory, and Direct Lake?
Migration judgment
Have they moved an existing Azure data estate into Fabric without disrupting production?
Governance design
Can they describe the security and workspace isolation model they built and why?
Request Fabric Architect Profiles
Tell us about your project context and timeline. We'll deliver 2–4 curated, pre-vetted profiles within 5 days of your initial brief.