Databricks consulting · Salt Lake City, UT
Databricks consulting for Salt Lake City companies
The Wasatch Front corridor has built a substantial financial technology and software base, with a large integrated healthcare system alongside it and an unusually high proportion of companies still founder-run.
Founded
2017, and still independent
Bench
115+ people, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Salt Lake City, Provo, Lehi, Ogden
Founder-run fintech and software companies here usually have a Postgres that became the warehouse by accident and a BI tool pointed at it. Lakebase and Lakehouse Federation let that first step be small, with the application's own data federated into Unity Catalog before anything moves, and the SOC 2 evidence comes from the audit tables rather than a project.
AzureTechFabric 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.
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
DealerIQ is B2B ecommerce. A product platform with real transaction volume behind it.
B2B ecommerce
DealerIQ
TotalLoop moved off Cosmos DB and SQL Server onto Databricks Lakebase, converted with TechFabric Airlift and cut over in reversible waves. Its dealership sales intelligence now mines customer data straight from the lakehouse it sits beside.
The first enterprise deal brings the questionnaire
A founder-run company's first large customer arrives with a security questionnaire and a SOC 2 requirement. A platform that already produces an audit trail turns that from a six-month project into a document exercise.
None of that is unusual for Salt Lake City, 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
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.
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.
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.
04
Hand over with the reasoning
A written record of what was decided and why, which the next platform lead almost never gets.
Two weeks, fixed fee, and a written plan whether or not you build it with us.
Headquarters
1530 E Williams Field Rd, Ste 201Gilbert, AZ 85295
Phone
+1 (480) 681-6806Also
Amsterdam, Dnipro, Hyderabad
Working hours
Salt Lake City business hours, most days
FAQ
Databricks consulting in Salt Lake City: common questions
Do you work with Salt Lake City companies?
Yes, and with companies across the United States. Arizona does not observe daylight saving, so from November to March we are on the same clock as you and from March to November we are an hour behind. The working day overlaps almost completely.
Do you have an office in Salt Lake City?
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 are founder-run and our first big customer wants SOC 2.
Then the useful thing is a platform that already produces the evidence, so the questionnaire becomes a document exercise. We would rather get one system into production with the trail built in than run a compliance programme alongside a build.
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.
Databricks consulting elsewhere
Nine of the metros we publish for. The full list is here.
New York, NY
New York, Brooklyn, Queens
Boston, MA
Boston, Cambridge, Somerville
Atlanta, GA
Atlanta, Alpharetta, Marietta
Miami, FL
Miami, Fort Lauderdale, Coral Gables
Charlotte, NC
Charlotte, Concord, Gastonia
Philadelphia, PA
Philadelphia, King of Prussia, Wilmington
Detroit, MI
Detroit, Ann Arbor, Dearborn
Tampa, FL
Tampa, St. Petersburg, Clearwater
Chicago, IL
Chicago, Naperville, Evanston