Advisory
Data platform advisory.
I help enterprise teams review architecture, design governance, and make platform decisions across Azure, Databricks, and Microsoft Fabric.
Available alongside my full-time enterprise work.
Discuss an engagement → 01 / Engagements
Choose the scope you need.
Each engagement has a defined scope, working documents, and practical recommendations.
1–2 weeks
Architecture Review
I assess your current data platform architecture, identify structural gaps and governance risks, and recommend where to simplify.
Deliverables
- Architecture assessment document
- Risk and gap analysis
- Prioritized recommendations with effort estimates
- Architecture decision records (ADRs) for key choices
Azure · Databricks · Fabric · Lakehouse
2–4 weeks
Governance Design
I design access models, ownership patterns, naming standards, and operating rules for your data platform.
Deliverables
- Governance framework document
- Access and ownership model
- Naming and tagging standards
- Operating runbooks for platform teams
Unity Catalog · Workspace Design · Policy
Ongoing advisory
Platform Strategy
Ongoing advice on migration paths, vendor evaluations, capability roadmaps, and stakeholder communication.
Deliverables
- Platform capability roadmap
- Migration or consolidation strategy
- Stakeholder-ready architecture narratives
- Regular advisory sessions
Enterprise · Multi-cloud · Strategy
02 / Process
Scope, deliver, hand over.
01Scope
We discuss your platform context, constraints, and what success looks like before agreeing on scope.
02Deliver
I work against the agreed scope and deliver documents, architecture decisions, and recommendations your team can review.
03Handover
I hand over the documentation, recorded decisions, and context your team needs to own and operate the outputs.
Good fit
When I can help.
- Your data platform is growing faster than your governance
- You're evaluating Databricks, Fabric, or a lakehouse migration
- Your team needs clearer architecture standards before scaling
- Stakeholders are asking questions your current documentation can't answer
- You want an independent perspective — not a vendor pitch
Boundaries
When to look elsewhere.
- You need hands-on engineering (building pipelines, writing Spark jobs)
- You're looking for a full-time hire rather than advisory
- The project scope isn't defined enough for a focused engagement yet
- You need vendor-certified implementation support