Fractional data architecture for teams that need trusted systems.
For companies with unreliable dashboards, reports that do not match, fragile pipelines, unclear ownership, AI readiness pressure, or stalled cloud decisions, Gambill Data provides data engineering consulting and data strategy consultant support that turns platform uncertainty into governed, explainable, production-ready data work.
- 1Clarify the roadmap, platform tradeoffs, ownership model, and business priorities.
- 2Add senior architecture leadership without a full-time hire.
- 3Stabilize pipelines, governance, cloud platforms, reporting, integration, and team handoff.
Scoped work. Fixed price. No surprises.
Enterprise Data Architecture & Risk Audit
$12,000 2–3 weeks- Full audit of current data pipelines, platform choices, and data contracts
- Risk register: identified failure points, security gaps, and compliance exposures
- Architecture recommendations report with prioritized remediation roadmap
- Executive-ready presentation of findings
Does not include implementation, code changes, or ongoing support.
Modern Platform Blueprint (Databricks/Fabric)
$15,000 3–4 weeks- Current-state assessment of your data platform and migration readiness
- Target architecture design for Databricks or Microsoft Fabric
- Unity Catalog governance model and medallion architecture plan
- Migration phasing roadmap with cost and risk estimates
- Vendor-ready documentation package
Strictly advisory — no hands-on engineering or keyboard work included.
Fractional Architecture Retainer
$2,500/month 3-month minimum- Weekly architecture review sessions (60 min)
- Async review of designs, PRDs, and technical decisions
- Escalation support for critical platform issues
- Monthly architecture health summary
No keyboard engineering — advisory and review only. Cancel with 30 days notice after minimum term.
What engagement looks like in practice.
Two examples from enterprise engagements. Client names withheld by agreement.
Production API pipeline failing intermittently due to race conditions and token collision across concurrent jobs.
Root-caused the collision pattern to shared credential access. Redesigned token lifecycle using Azure Key Vault with per-job rotation and centralized secret management.
Eliminated intermittent failures. Improved security posture with zero shared credentials across pipeline jobs.
SOX compliance audit required from scratch with no existing data governance framework or audit trail.
Built end-to-end compliance data model, audit trail architecture, and evidence package aligned to SOX controls. Partnered with internal audit team through the full review cycle.
Zero compliance findings on first audit. Framework adopted as the baseline for ongoing SOX reporting.
Choose the path that matches the pressure.
These focused consulting paths help leaders route the conversation by platform, AI readiness, or broader data platform risk without mixing coaching and consulting funnels.
Databricks Consulting
For teams that need a Databricks consultant to review lakehouse architecture, Unity Catalog governance, production notebooks, Delta Lake reliability, and platform tradeoffs.
ConsultingSynapse to Fabric Migration
For teams planning Microsoft Fabric consulting around Azure Synapse migration, capacity and CU review, audit readiness, governance, and cutover risk.
ConsultingAI Readiness Assessment
For leaders who need to pressure-test data quality, governance, ownership, privacy, and platform readiness before funding AI work.
ConsultingData Platform Risk Review
For teams with overlapping reporting trust, brittle pipeline, unclear ownership, platform, and AI readiness risk.
When data work starts costing more trust than it creates.
These are the moments when a fractional data architect can help leaders separate symptoms from causes and decide what to fix first.
Reports do not match
Leadership sees different numbers across dashboards, spreadsheets, and operational systems, so decisions slow down.
Teams are firefighting
Data engineers spend their week fixing broken pipelines instead of improving the platform.
Ownership is unclear
Nobody can explain who owns definitions, access, quality checks, or the roadmap.
AI readiness pressure
Executives want AI use cases, but the data foundation is not governed, trusted, or ready.
Platform decisions have stalled
Snowflake, Databricks, Fabric, Azure, AWS, and integration choices need business-aligned tradeoffs.
Audit and governance risk is rising
Data access, lineage, controls, and documentation are not clear enough for regulated or executive scrutiny.
Focused offers for the messy middle of data work.
Each service is designed to create clearer decisions, trusted reporting, stabilized pipelines, governed access, reduced delivery risk, and stronger team handoff.
Data Strategy Consulting
Data strategy consultant support for evaluating the current data architecture, modern data stack, semantic layer, and future-state platform, then building a practical 5- to 10-year roadmap tied to business priorities.
LeadershipFractional Data Architect
Bring senior architecture judgment into your team without hiring a full-time data leader, especially when trust, governance, platform, and pipeline risk are increasing.
ExecutionFractional Data Engineering
Data engineering consulting and hands-on engineering support for pipelines, integrations, dbt models, automation, reporting, and production data workflows.
GovernanceSecure Data Management and Analytics
Build analytics environments that are understandable, auditable, and governed with trusted metrics, data lineage, and data contracts without turning every request into a committee meeting.
IntegrationUnified Data Integration
Connect scattered systems into coherent data flows, data contracts, and integrations that support reporting, analytics, and operational decision-making.
Team Handoff
Leave teams with systems and habits they can operate after the engagement ends.
When to bring in a fractional data architect.
Bring in senior architecture help when your team has enough activity to look busy but not enough clarity to lower risk. The work is platform-neutral: diagnose the constraint, explain the tradeoffs, define the roadmap, and help the team execute without turning architecture into theater. The focus is fractional data architecture for trust, governance, platform, and pipeline risk.
- The Gambill Data Platform Risk Review across pipelines, models, reports, ownership, access, quality, and platform cost
- Executive-ready tradeoff explanations for Snowflake, Databricks, Fabric, Azure, AWS, cloud data warehouse, lakehouse architecture, warehouse, and integration choices
- Governance and audit-aware standards for data lineage, semantic layer design, trusted metrics, and data contracts that help delivery instead of slowing every request
- Implementation support for dbt models, medallion architecture, pipeline observability, data quality monitoring, documentation, and handoff so internal teams can keep operating
What the engagement should change.
Trusted reporting
Create consistent definitions, clearer ownership, and executive-ready explanations of where numbers come from.
Stabilized pipelines
Reduce brittle workflows with practical standards, monitoring habits, recovery planning, and handoff documentation.
Better platform decisions
Compare tools and architecture choices through cost, capability, governance, and delivery risk.
Reduced delivery risk
Sequence roadmap work so teams stop chasing symptoms and start removing the highest-value constraints.
Data Platform Risk Review Case Study
See how a messy data platform becomes an executive-ready roadmap without exposing client names or private environments.
OfferData Platform Risk Review
Use the named diagnostic when reporting trust, brittle pipelines, unclear ownership, or platform decisions need a senior read.
Relevant work behind the consulting lens.
Gambill Data is built from hands-on delivery, enterprise leadership, and situations where data systems had to become easier to trust, explain, and operate.
Automated a manual SOX audit workflow.
Converted a paper-based weekly review into a SQL Server-backed application with a front end and reporting outputs for management and audit use.
Led data warehouse, analytics, and cybersecurity data work.
Worked in Fortune-scale telecom environments where platform reliability, reporting trust, stakeholder communication, and team standards all had to move together.
Supported divestiture readiness through data clarity.
Helped prepare data environments, reporting, and documentation for business separation and buyer evaluation, where explainability mattered as much as output.
Built for regulated, operational, and data-heavy environments.
Gambill Data brings practical experience across industries where data quality, governance, reporting, and platform reliability matter: aviation, manufacturing, government and public sector work, telecommunications, cybersecurity, and growing companies trying to make better use of their data.
The work is grounded in 25+ years of data experience, including 14 years in Fortune-scale telecom enterprise environments, data team leadership, cybersecurity analytics, executive-facing delivery, and divestiture readiness work where reporting, documentation, and trust had to stand up to scrutiny.
Use a resource before the call.
These ungated diagnostics help clarify whether the problem is strategy, platform choice, Databricks consulting fit, governance, AI readiness assessment gaps, or pipeline reliability.
Executive AI Readiness Checklist
Use this when leaders want AI initiatives but the data foundation, ownership, privacy, and governance questions are still unsettled.
Use this whenData Platform Pilot Scorecard
Use this when a pilot looks promising but you need a business-safe way to decide whether it should scale.
Use this whenDatabricks vs. Snowflake Scoring Matrix
Use this when platform debate is slowing the roadmap and stakeholders need visible tradeoffs.
Use this whenPipeline Survival Framework
Use this when pipelines break too often and the team needs a practical reliability diagnostic.
Need a senior read on the current state?
Book a data strategy call and we will diagnose the current state, the likely constraints, and the highest-value next move.