What are data engineering services?

Data engineering services cover the pipelines, warehouse, and modeling that move data from raw sources into something teams can query and trust. Brilworks delivers this on Snowflake and Databricks, including migration, cost optimization, and the AI-ready data layer.

Data Engineering Services

Data Engineering Services that Cut Cost and Ship AI.

Brilworks unifies your data on Snowflake and Databricks, cuts what you overspend to run it, and gets AI into production on data your teams can trust.

Talk to an Expert See what we do

Fixed-price cost audit that pays for itselfYour cloud, your repo, no lock-inCertified on Snowflake and Databricks

20–40%

Typical cost cut

40+

Pipelines in production

2.1B

Rows processed daily

99.7%

Pipeline uptime

What We Build

Core Data Engineering Services

Full-lifecycle data engineering, from the pipeline that ingests raw data to the AI layer that runs on top of it.

Platform migration

Move off Teradata, SQL Server, Hadoop, or legacy warehouses onto a Snowflake or Databricks lakehouse. Migrated in phases, reconciled table by table, with the old system live until you trust the new one.

Legacy warehouse and Hadoop migration
Reconciled row-by-row, zero silent loss
Phased cutover, no big-bang risk

Data pipeline & ELT engineering

Build and maintain the pipelines that feed your warehouse on dbt, Fivetran, Airflow, and Spark. Tuned to hold up when volume and table count climb, not just on sample data.

Batch and streaming pipelines
dbt-first, tested transformations
Built to be debugged and owned by your team

Cost optimization

Cut Snowflake and Databricks spend 20 to 40% through warehouse right-sizing, auto-suspend, and query tuning. A fixed-price engagement that usually pays for itself in weeks.

Fixed-price audit, fast payback
Warehouse right-sizing and tuning
Itemized plan, not vague advice

AI/ML data foundation

Prepare clean, governed data so the AI, agents, and models you build hold up in production instead of breaking on bad inputs. Plus the governance, lineage, and modeling that keep it compliant as you scale.

Clean, governed, AI-ready data
MLOps and feature pipelines
Access control and lineage built in

Why Brilworks

Data engineers who ship, then stay accountable

We do not just hand over a diagram. We engineer the platform and stand behind the numbers it produces.

Certified on both platforms

Snowflake and Databricks certified, with production shipping history, not just training badges.

Cost built into delivery

We size, tune, and cut idle spend as part of the work, so what you launch already runs lean.

Full scope, one team

Migration, pipelines, governance, and the AI layer. No handoff between three vendors.

Measurable outcomes

Faster queries, lower bills, AI in production. Numbers you can point to, not adoption slides.

Governance from day one

Access control and lineage early, so fintech and healthcare pass audit without a retrofit.

Zero lock-in

We build on your cloud and your repo. You own the whole stack when we leave.

Results in weeks

A first trustworthy dashboard or a measured cost cut lands in weeks, not quarters.

Real-time when it matters

Streaming pipelines for the workloads that cannot wait for a nightly batch.

Client Stories

What Data Leaders Say

Real words from people who ran our work in production.

“They cut our warehouse spend the month after they finished. Nothing our analysts touched changed.”

Marcus LeeDirector of Data Engineering, HealthTech

“They fixed the data foundation first instead of selling us an AI demo. The agent worked because of it.”

Sofia PetrovaChief Data Officer, Logistics Platform

“Two days of weekly reporting turned into four minutes. The ops team got a day back.”

James ThorntonVP Engineering, E-Commerce

Free Tools

Size Up Your Data Stack Before You Commit

Free calculators and assessments for Snowflake and Databricks teams. Get numbers in minutes, no sales call required.

Snowflake Cost Estimator

Databricks Cost Estimator

AI Readiness Audit

Migration Cost Calculator

Data Quality Assessment

Snowflake vs Databricks Advisor

Explore All Tools

Industries We Serve

Data Engineering Built for Your Vertical

Pipeline patterns differ by industry. We have shipped in each of these.

Fintech

Healthcare

E-Commerce

Logistics

SaaS

Manufacturing

Common Questions

Data Engineering Services, Answered

Data engineering services cover the pipelines, warehouse, and modeling that move data from raw sources into something your teams can query and trust. Brilworks delivers this on Snowflake and Databricks, including migration, cost optimization, and the AI-ready data layer that sits on top.

It depends on scope. Our Cost-Optimization Audit is fixed-price and usually pays for itself. Larger builds and migrations are scoped per project, and staff augmentation is monthly per engineer. We give you a clear price before any work starts.

Most work runs in fixed, scoped phases rather than one open-ended project. A first trustworthy result often lands in weeks, and migrations are reconciled table by table before cutover so nothing is lost.

Both. Our engineers are certified on each, and we pick the platform that fits your workload rather than the one we would rather sell. Many clients run both.

Yours. We work on your existing AWS, Azure, or GCP environment, and you own the whole stack and the repo when the engagement ends.

Yes. Beyond the initial build or migration, we offer managed services: monitoring, performance tuning, and proactive cost control, so the platform stays fast and cheap to run.