Data engineering consulting services
Data engineering consulting that ends in measured results
Senior engineers who design, migrate and run data platforms on Databricks, Snowflake and Microsoft Fabric, in fixed-scope programs with a price on every phase.
What we do
Data engineering services for platforms your AI and reporting can trust
Most data programs don't fail on the model or the dashboard. They fail on the data underneath: scattered across systems, untested, ungoverned and expensive to run. Our consulting covers every layer of that foundation.
Start here
Data Platform Assessment
Three weeks, a fixed fee of $40k–$75k, and a priced roadmap you own.
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation.
Data platform engineering
Databricks, Snowflake and Fabric built to production standards.
AI-ready data
Governed, retrievable data for GenAI, RAG and agents.
Data quality & governance
Contracts, lineage and access control that auditors accept.
Cloud data cost optimization
Find and remove the spend your workloads don't need.
Managed data platform
We run it, with SLAs, after we build it.
Databricks migration
Teradata, Oracle, SQL Server, Hadoop and ETL tools to Databricks, reconciled table by table.
How we work
Four steps, with a price on each
1
Assess
A $40k–$75k fixed-fee, three-week review of your architecture, pipelines, costs and risks, ending in a priced roadmap you own.
2
Plan
Each initiative is scoped with effort, a fixed price, risks and the outcome it must deliver, agreed before work starts.
3
Build
Senior engineers deliver in your cloud accounts, in code, with tests, documentation and your team alongside.
4
Prove and hand over
Results are measured against a baseline agreed with finance, and your team runs the platform, or we operate it under an SLA.
Why Metric Oak
What working with us is like
Senior engineers only
The people on the first call do the work. No juniors learning on your platform, no bait-and-switch after the contract is signed.
Fixed scope, fixed price
Every phase is priced before it starts, so budgets hold and trade-offs are explicit.
Measured outcomes
Cost, speed and reliability are baselined first and reported against afterwards, not claimed.
Platform-neutral advice
We work on Databricks, Snowflake and Microsoft Fabric and recommend what fits your workloads, not what pays a reseller margin.
Your code, your accounts
Infrastructure as code in your cloud. No proprietary accelerators you have to keep paying for.
Built to hand over
Documentation, runbooks and pairing are part of the scope, so your team can run what we build.
Industries
Where we work
- Financial services & fintech
Risk, regulatory reporting and real-time payments data.
- B2B marketplaces & ecommerce
Catalog, pricing and order data at marketplace scale.
- Healthcare & life sciences
PHI-safe platforms for clinical, claims and R&D data.
See our thinking first
Judge the expertise before you call
- 42 migration guides
Teradata, Oracle, Informatica, SSIS, Hadoop and more, to Databricks, Snowflake and Fabric.
- 16 platform comparisons
Vendor-neutral, by workload and industry.
- Data Platform Modernization Outcomes report
What 100 published programs actually achieved.
- Free tools
Scorecard, cost calculator, migration estimator and platform chooser.
- Sample assessment report (PDF)
The structure and depth of what you receive.
Frequently asked questions
What do data engineering consulting services include?
Designing, building and improving the systems that collect, store, transform and serve data: platform architecture, pipelines, cloud migrations, data quality and governance, cost optimization, and preparing data for analytics and AI. Metric Oak delivers these as fixed-scope programs on Databricks, Snowflake and Microsoft Fabric.
How much does data engineering consulting cost?
It depends on scope. Our Data Platform Assessment is a fixed fee of $40k–$75k over three weeks and ends with a priced roadmap. Delivery programs are then quoted as fixed prices per phase, so you know the cost of each step before agreeing to it.
How is Metric Oak different from large consulting firms?
Senior engineers do the work from the first call to handover, every phase has a fixed price, and outcomes are measured against an agreed baseline. You get the depth of a specialist team without the layers, juniors and open-ended billing of a large firm.
Which platforms do you work with?
Databricks, Snowflake and Microsoft Fabric, on AWS, Azure and Google Cloud, with tools such as dbt, Lakeflow, Airflow and Power BI. We also migrate from Teradata, Oracle, SQL Server, Netezza, Hadoop, Informatica, SSIS, DataStage, Talend, SAS and others.
Can you work alongside our internal data team?
Yes, and we prefer to. We pair with your engineers, follow your standards and leave documentation and runbooks so your team owns the platform after handover. Managed operation under an SLA is available if you would rather we run it.
How do engagements start?
With a free 30-minute architecture review. If there is a fit, most clients start with the three-week Data Platform Assessment, which ends with a priced roadmap they can use with us or any other partner.
Have 30 minutes? Get a senior architect’s view of your data platform.
No sales deck. You talk to the engineer who would lead the work.
Book an architecture review