Databricks consulting · Charlotte, NC
Databricks consulting for Charlotte companies
Charlotte is the second-largest banking centre in the United States by assets under management, with energy and a growing fintech layer around it. The buying culture reflects that: conservative, audit-first, and unimpressed by a demo.
Founded
2017, and still independent
Bench
115+ people, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Charlotte, Concord, Gastonia, Rock Hill
Bank estates here tend to be Teradata and SQL Server with decades of model inputs nobody dares retire. FFIEC model risk guidance wants the lineage of every input, which is exactly what Unity Catalog records by default once the warehouse is on Databricks, so the migration and the model governance become one project instead of two.
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
iLending is a lending platform. Origination and refinancing, under the governance a bank expects.
Automotive / Fintech
iLending
TechFabric automated lead and loan officer assignment, rate sheet processing, and stipulation document management, and improved CRM integration and API performance. Manual errors dropped and agent onboarding got faster.
The regulator asks about the model
FFIEC guidance on model risk management applies whether or not anybody called it a model, and an automated credit decision nobody can explain is a finding. Explainability has to be designed in, because it cannot be added to a system that did not record its reasoning.
None of that is unusual for Charlotte, 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
Charlotte business hours, most days
FAQ
Databricks consulting in Charlotte: common questions
Do you work with Charlotte companies?
Yes, and with companies across the United States. Arizona does not observe daylight saving, so we are two hours behind you from November to March and three hours behind from March to November. That leaves most of your afternoon overlapping our morning, which is usually enough.
Do you have an office in Charlotte?
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.
How do you handle model risk management?
An automated decision records what it was given, what it decided and under whose authority, because FFIEC guidance applies whether or not anybody called it a model. Explainability is designed in, since a system that did not record its reasoning cannot have it added later.
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
Philadelphia, PA
Philadelphia, King of Prussia, Wilmington
Detroit, MI
Detroit, Ann Arbor, Dearborn
Tampa, FL
Tampa, St. Petersburg, Clearwater
Chicago, IL
Chicago, Naperville, Evanston
Dallas, TX
Dallas, Fort Worth, Plano