Databricks consulting · Phoenix metro
Databricks consulting in Phoenix, from an award-winning engineering team
TechFabric is a Databricks partner in the Phoenix metropolitan area, headquartered in Gilbert, Arizona, where we run the Gilbert Databricks User Group, and an award-winning Databricks engineering team of 80 certified engineers.
We migrate warehouses onto Databricks, design Unity Catalog governance, and build the pipelines, apps and agents on top, for companies across Phoenix, Scottsdale, Tempe, Mesa and Chandler, from semiconductor suppliers in Chandler to distribution centres in the West Valley.
Office
1530 E Williams Field Rd, Ste 201Gilbert, AZ 85295
Phone
+1 (480) 681-6806Serving
Phoenix, Scottsdale, Tempe, Mesa, Chandler
Bench
115+ engineers, 80 Databricks-certified
Most Databricks work that reaches us is a platform somebody already bought. The workspace exists, the bill is growing, and the application the business was promised is still a notebook.
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 here
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 Unity 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.
The Valley's numbers peak in July and August
SRP and APS plan the Valley's electricity around summer afternoons, when Phoenix passes 110 degrees and air conditioners from Peoria to Queen Creek run at once. Any business here that runs equipment, cooling or crews outdoors sees July and August in its own data.
That makes the first question a lakehouse here gets asked a seasonal one, whether this summer is worse than last summer and why. Answering it takes years of history at the grain it was recorded, readings by the minute rather than a monthly rollup, and the figures exactly as they stood on the day they were reported.
We'd land the raw readings in Delta tables that are only ever appended to, build the rollups on top with Lakeflow, and write a dated snapshot of each month's figures as they were reported, so last summer reads back exactly as it was reported. Unity Catalog grants decide who sees plant or customer detail. Once the tables beneath it are right, Genie can take the summer question in plain English.
Why Phoenix companies work with us
Eighty Databricks-certified engineers
The largest Databricks bench in the metro that we know of, and a number you can check. Ask every firm you talk to for theirs, because a certification count is checkable and a partner tier weighs revenue alongside capability.
Judged by Databricks
In September 2026 an app built by one of our engineers, Ivan Vydrin, was named a winner in the Creativity & Originality track of Databricks' Genie-Powered App Challenge, placing second worldwide. The code is public.
We build what sits on top
Most Databricks partners stop at the lakehouse and the dashboard. The question that decides whether a platform gets used is who builds the application, the API and the agent above it, and that is what we have done for a decade.
We run the Databricks user group here
Our CEO, Preetham Reddy, is the lead organizer of the Gilbert Databricks User Group, listed on usergroups.databricks.com. Gilbert is twenty minutes from Tempe and Chandler, and the first weeks of a build go better in a room.
Clients we have done this for
Location Services came off Synapse and SQL Server onto Databricks Lakehouse and Lakebase in reversible waves, converted with TechFabric Airlift. The rules engine that validates a repossession assignment on arrival now reads governed lakehouse data.
Automotive / Fintech
Location Services
Location Services' repossession platform automates assignment intake, so fewer people handle each case, and our engineers built it with the company's own technology team. When it was time to leave Synapse and SQL Server, we moved it onto Databricks in waves that could each be rolled back, and the rules engine that checks every assignment came through unchanged.
By industry
Financial services and lending
Origination, refinancing and servicing data where a wrong number is a compliance question. Auto Approve, iLending and SWBC are on this site with the work named.
Manufacturing and distribution
Estates that outgrew the systems underneath them, where the data platform and the modernisation are the same project. Funko is written up.
Sport and media
Audience and event data at scale, including a pipeline stitching 400M+ athlete records across sources.
Consumer products
Commerce data judged on the day the traffic arrives rather than on the average day.
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.
Tell an engineer what you want to build
A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.
Around Phoenix
Databricks user groups in the Valley
We organise the Gilbert Databricks User Group, which meets in the evening at EZ Spaces in Gilbert; its first session built an application on Lakebase with a Databricks App and an agent on top. The Phoenix Databricks User Group is a separate chapter on the same Databricks user groups site, and its recent session on Genie agents ran online. DATAPHX, formed from three earlier Arizona data groups, holds a monthly Tacos+Tech evening in Tempe.
If you're deciding whether Databricks is worth what the bill says, building something end to end shows what Lakebase and Databricks Apps cost to run better than a pricing page, and the user group at EZ Spaces did exactly that in its first session. The questions asked there about Unity Catalog grants are often the ones an auditor reaches a year later, and they're cheaper to hear first among practitioners.
The Phoenix-Mesa-Chandler metro area. Arizona: Maricopa and Pinal counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
User group · Evening sessions, started September 2026
Gilbert Databricks User Group
TechFabric organises this one at EZ Spaces in Gilbert, and its first session built a Lakebase application with a Databricks App and an agent end to end.
TechFabric. EZ Spaces Coworking, 1530 E Williams Field Rd, Suite 201, Gilbert.
Meetup · Occasional evening sessions, started September 2026
Phoenix Data & AI
We organise this network too, with sessions on lakehouse design, MLOps and GenAI for data engineers and analytics leaders across the Valley.
TechFabric. 1530 E Williams Field Rd, Suite 201, Gilbert.
User group · Occasional sessions, some online
Phoenix Databricks User Group
A separate chapter on the Databricks user groups site, with some sessions online, like a recent one on Genie agents.
Co-organised by V4C and a Databricks employee. Phoenix, with some sessions held online.
Meetup · Monthly, a Monday evening in person and a Wednesday noon online
DATAPHX
Formed from three earlier Arizona data groups, its monthly Tacos+Tech evening in Tempe is where the Valley's data people meet across platforms.
Volunteer organisers. El Jefe Tacos & Sushi, Tempe, and online.
University · Ongoing degree programme
MS in Data Science, Analytics and Engineering, Arizona State University
ASU's data science master's is a steady source of engineers who'll run a lakehouse after the migration team has moved on.
ASU School of Computing and Augmented Intelligence. Arizona State University, Tempe.
Where you'll find us
- Gilbert Databricks User Group. We organise it.
- Phoenix Data & AI. We organise it.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
Production software, built from the Phoenix metro.
FAQ
Databricks consulting in Phoenix: common questions
Do you do Databricks consulting in Phoenix?
Yes. TechFabric is a Databricks partner in the Phoenix metropolitan area, at 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295, with 80 Databricks-certified engineers inside a team of 115+. We organise the Gilbert Databricks User Group, and we work with companies across Phoenix, Scottsdale, Tempe, Mesa and Chandler, on site when it helps.
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.
Can you migrate us from Snowflake, Synapse or Teradata?
Yes, and those three plus SQL Server are the paths we have built playbooks for. The migration runs through TechFabric Airlift, which covers twenty-seven source platforms with executable playbooks, signed migration certificates and a reversible cutover. It starts with a two-week Migration Readiness Sprint so the scope is written down before anybody commits.
How does a Databricks engagement start?
Usually with the two-week Databricks Health Check at a fixed fee, which reads the workspace and returns a scorecard. It's a complete engagement on its own and the document is yours whether or not you continue.
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