Foundation
Lakehouse, warehouse, lifecycle, resilience, workload isolation, recovery, and portability.
For data owners & managers
Build a data platform the business can depend on.
Connect modernization and migration to ownership, quality, lineage, security, semantics, data products, adoption, and accountable cost—before a new platform reproduces the old fragmentation.
Buyer problem
A newer platform does not create trusted data.
Warehouse, lakehouse, movement, streaming, catalog, quality, security, and observability decisions are often made as separate purchases. Migration moves workloads, but meaning, ownership, reliability, service expectations, cost, and consumer adoption remain unresolved.
Discovery & advisory entry
Data Platform Decision Sprint
In a two-to-four-week planning range, map domains, workloads, authoritative sources, current platforms, service needs, migration constraints, operating capacity, and economics; define required capabilities; and produce a decision and FDE-ready roadmap.
- Domain, workload, consumer, and owner map
- Capability and current/target architecture
- Shortlist and workload-specific proof plan
- Migration, operating, security, and cost requirements
- Decision record and implementation waves
Platform decision landscape
Modernize the operating system, not only storage.
Integration & transformation
Authorization, batch/CDC, transformations, contracts, tests, failure recovery, and lineage.
Streaming
Owned events, schemas, compatibility, replay, retention, access, and observability where latency warrants.
Catalog, lineage & quality
Authoritative meaning, ownership, provenance, fitness-for-purpose, health, and incident response.
Security & access
Classification, identity, least privilege, policy enforcement, secrets, retention, deletion, and audit.
Semantics, products & FinOps
Reusable metrics, contracts, service expectations, consumption, unit economics, and value evidence.
Select / Source
Choose a platform and migration path together.
Evaluate workload fit, integration, semantics, quality, security, interoperability, recovery, operating ownership, migration feasibility, adoption, cost, exit, and commercial terms. The answer may be consolidation, selective migration, a suite-led path, focused components, or no new purchase.
Commercial boundary: Scott supports platform selection and sourcing. Resale, procurement rights, pricing authority, or vendor relationship claims apply only where current written authorization exists.
Implement via FDE
Move from platform decision to trustworthy data products.
FDE scopes the implementation arm: integrate or migrate platforms, build pipelines and event flows, implement catalog and lineage, establish quality and observability, create semantic layers and data products, automate evidence, reconcile and cut over workloads, train owners, and transfer support.
Explore Forward Deployed Engineering →Source and target architectureMigration waves, reconciliation, and rollbackData contracts, semantics, quality, and lineageIdentity, access, resilience, and acceptanceCost, adoption, support, and retirement plan
Proportionate governance & evidence
Make ownership and control part of the platform.
Use domain ownership, authoritative-source decisions, data contracts, access, lineage, quality evidence, service expectations, incident response, cost accountability, and change control in proportion to each workload. Higher-assurance needs can move into the specialist Governance & Assurance track.
Outcomes & deliverables
A modernization decision delivery can execute.
Domain and workload portfolioData platform capability mapCurrent and target architectureEvidence-backed shortlist and proof planMigration waves and acceptance criteriaSemantic, quality, security, and service modelFDE delivery brief and roadmapCost allocation and decision record
Discover
Advise
Select / Source
Implement via FDE
Adopt / Optimize / Expand
Start with one domain or migration decision