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TechFabric

Databricks consulting · Minneapolis, MN

Databricks consulting for Minneapolis companies

The Twin Cities carry an unusual mix for their size: medical device manufacturing, two of the country's largest retailers, and agricultural trading, all headquartered rather than branch-officed.

Founded

2017, and still independent

Bench

115+ people, 80 Databricks-certified

Experience

Fifteen years average, per engineer

Serving

Minneapolis, St. Paul, Bloomington, Eden Prairie

A medtech manufacturer and a national retailer need opposite things from a data platform, provable change history on one side and speed at seasonal peak on the other, and both sit in this metro. Unity Catalog audit tables and Delta time travel serve the FDA question, and the same lakehouse handles the retail volume without a second architecture.

DatabricksTemporalAzure

TechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.

TechFabricDatabricks
WinnerCreativity & Originality

Databricks Community Genie-Powered App Challenge, September 2026. Second place worldwide, judged and announced by Databricks.

What databricks consulting covers

Migration off Snowflake, Synapse and Teradata

Run through TechFabric Airlift, with executable playbooks for twenty-seven source platforms, signed migration certificates, and a cutover you can reverse at two in the morning.

Unity Catalog governance

Catalogue and schema design, a grant model expressed through groups, row filters and column masks, and lineage that survives a refactor. The boundary your agents and Power BI inherit.

Lakeflow pipelines

Ingestion and Lakeflow jobs with schema evolution handled rather than hoped for, medallion boundaries drawn on purpose, and jobs that recover instead of restarting from zero.

Databricks Apps and agents

Applications that run inside the workspace under their own service principal, and agents on AI Gateway that inherit catalogue permissions instead of routing around them.

Genie and AI/BI

Metric definitions agreed with the person who owns the number, and a benchmark suite Genie has to keep passing, so the answer holds up when finance checks it.

Cost that somebody can defend

Cluster policies, warehouse sizing, file layout and the queries that actually pay. Instrumented at build time rather than discovered on an invoice.

Clients we have done this for

Funko is consumer products at scale. Judged on peak, not on an average day.

Warehouse management

Funko

A warehouse management system built to cut operating expense, reduce reliance on manual work, and double throughput efficiency.

Medical device software is regulated software

FDA software-as-a-medical-device expectations apply to code that informs a clinical decision, and the retail side of this metro carries PCI at the same time. One platform, two regimes, and neither tolerates an unexplained change.

None of that is unusual for Minneapolis, and none of it is a reason to build slowly. It is a reason to decide where the evidence comes from before the first handler is written, because the alternative is reconstructing it later from logs that were not designed to answer the question.

How an engagement runs

  1. 01

    Two weeks, fixed fee

    A Databricks Health Check reads the workspace and returns a scorecard: compute cost, job reliability and Unity Catalog gaps, with what to fix first. You keep the document either way.

  2. 02

    Scope you can defend

    For a migration, the two-week Migration Readiness Sprint inventories the estate, agrees exclusions and hands you a wave plan before anyone picks a date.

  3. 03

    Build in your workspace

    The work runs in your workspace and your repository, with your engineers in it from the first week, so the pattern is one they can extend.

  4. 04

    Hand over with the reasoning

    A written record of what was decided and why, which the next platform lead almost never gets.

Talk to an engineer in Minneapolis

Two weeks, fixed fee, and a written plan whether or not you build it with us.

Headquarters

1530 E Williams Field Rd, Ste 201
Gilbert, AZ 85295

Phone

+1 (480) 681-6806

Also

Amsterdam, Dnipro, Hyderabad

Working hours

Minneapolis business hours, most days

FAQ

Databricks consulting in Minneapolis: common questions

Do you work with Minneapolis companies?

Yes, and with companies across the United States. Arizona does not observe daylight saving, so we are one hour behind you from November to March and two hours behind from March to November. A morning standup on your clock is still early afternoon on ours.

Do you have an office in Minneapolis?

The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build.

We build medical devices and run retail. Different requirements.

They are, and one platform serves both because the difference is which checkpoints are enforced rather than which system you run. Software informing a clinical decision and a commerce platform under PCI both need an unexplained change to be impossible, which is the same mechanism.

What makes you an award-winning Databricks engineering team?

In September 2026 Prove It, an app built by TechFabric engineer Ivan Vydrin, was named a winner in the Creativity & Originality track of the Databricks Community Genie-Powered App Challenge, placing second worldwide in a contest Databricks ran and judged. The announcement is on community.databricks.com and the code is public.

What level of Databricks partner are you?

TechFabric is a Databricks partner. We don't publish a tier, because tiers measure commercial relationship as much as engineering depth, and we would rather be judged on the bench and the work. Eighty of our engineers are certified, we run our own business on the stack, and the four accelerators we bring are open source.