Databricks consulting · New York, NY
Databricks consulting for New York companies
The estates here are Teradata, SQL Server and a Snowflake layer bought in the last five years, all feeding regulatory reporting that has to reconstruct who saw what. Unity Catalog gives Part 500 and SOX one answer from the audit and lineage system tables, and a migration through Airlift arrives with signed certificates an examiner can read.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
New York, Brooklyn, Queens, Jersey City
New York runs on finance, from the banks and insurers answering to the state's Department of Financial Services to the fintechs that sell to them, with media, advertising and real estate close behind. Whatever you're building here, someone will eventually ask your system to explain what it did, whether that's an examiner, a client's auditor or a tenant's lawyer.
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 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 examiner arrives eventually
By 15 April each year, a bank or insurer regulated by New York's Department of Financial Services files either a certification of compliance with Part 500, its cybersecurity rule, or an acknowledgment of where it fell short, signed by its top executive and CISO. Section 500.6 asks for records that can reconstruct material financial transactions, and a public company answers to SOX as well. Both ask a system the same question: who changed what, when, and on whose authority.
Reporting jobs are how most firms answer it, which means a March spent pulling application logs into a spreadsheet that almost reconciles. We'd route every change to money or customer data through one path instead, and write the event that explains it in the same transaction as the change, so the trail can't drift from what happened.
The first two weeks go on finding every path that writes. We map the services, batch jobs and admin screens that can change a balance or a customer record, mark which ones leave evidence today, and give your CISO that map before any code changes. There's usually a writer nobody listed, a reconciliation script or a vendor's back-office screen, and closing it comes first.
Clients we have done this for
The LOSExpress rebuild for SWBC, a lending platform for credit unions, covered the user experience, the design system and the front-end architecture. Orders processed doubled and loan officers spent half the time on each order, which is what a lender or servicer wants to see before replacing a system its staff use all day.
Automotive / Fintech
SWBC
Credit union loan officers quote and book vehicle protection in SWBC's LOSExpress alongside a member's auto loan, but quoting was slow and new staff took too long to learn it. After gathering feedback from SWBC's staff and customers, our engineers and designers rebuilt one of its modules as a single-page application on a new design system. Orders processed doubled, and each loan officer now spends half as long on an order.
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 New York
Pipeline evenings in the Flatiron
Data Engineer Things NYC holds a few evening talks a year at Capital One's office on West 19th Street in the Flatiron, for the people who write the pipelines. FirstMark's Data Driven NYC is the long-running monthly one, with founders and engineers from data and AI companies on stage at venues around Manhattan, and NYU's Center for Data Science runs a 36-credit master's that ends in a capstone.
A New York migration gets judged twice, once at cutover and again when a Department of Financial Services examiner asks who could see a table on a given day. The talks at Capital One's Flatiron office are mostly about building pipelines, so plan the second judgement yourself, with access history and lineage kept from the first load. We plan the waves and the audit trail together.
The New York-Newark-Jersey City metro area. New York: Bronx, Kings, Nassau, New York, Putnam, Queens, Richmond, Rockland, Suffolk and Westchester counties. New Jersey: Bergen, Essex, Hudson, Hunterdon, Middlesex, Monmouth, Morris, Ocean, Passaic, Somerset, Sussex and Union counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
Meetup · A few evenings a year
Data Engineer Things NYC (DET NYC)
Data engineers give the talks at Capital One's Flatiron office, and the conversation afterwards is the place to ask how others handled lineage during a migration.
Data Engineer Things, a global data engineering community. Capital One, 11 W 19th St, Flatiron.
Meetup · Monthly, in person
Data Driven NYC
A monthly room of data company founders, useful for learning which tools tend to sit beside Databricks before buying one more for your stack.
FirstMark, a venture capital firm. Venues around Manhattan, address shared on registration.
University · Ongoing degree programme
MS in Data Science (MSDS), NYU Center for Data Science
NYU's 36-credit data science master's ends in a capstone, and its graduates are the analysts who'll be querying your lakehouse in a few years.
New York University Center for Data Science. New York University, Manhattan.
Conference · 19 November 2026
Databricks Data + AI World Tour New York City
Databricks' free stop at the Javits Center on 19 November runs an Executive Forum beside the technical sessions, useful for a New York bank or insurer setting next year's data budget.
Databricks. Javits Center, Manhattan.
More in New York (1)
- Queens NY Databricks User Group
A Databricks user group based in Queens, with online sessions and, in September 2026, an AI hackathon at Queens College.
Occasional sessions, online and in person. Queens College, Flushing, and online.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
FAQ
Databricks consulting in New York: common questions
Can Databricks use our New York fleet's TLC trip records?
Yes, and the city's side of that data already comes in a friendly shape. The Taxi and Limousine Commission publishes yellow taxi, green taxi and for-hire trip records monthly as Parquet files, typically with a two-month delay, and the for-hire records are built from the trip submissions bases make.
We'd land your own dispatch and trip data daily and load the TLC's monthly files beside it with Auto Loader, both registered in Unity Catalog. Your analysts could then compare your trips by pickup zone with the market's, and check that what your base submitted matches what your dispatch system recorded.
Which Unity Catalog grants come first for a New York hospital's EHR data?
One grant per role, set before any row lands. The ingestion pipeline's service principal alone can write to the landing schema. Analyst groups read through a column mask on protected health information, researchers get select on de-identified views only, and clinicians' dashboards read curated tables, never the raw extract.
The Bureau of Labor Statistics counted about 2.36 million education and health services jobs in the New York metro in September 2026 (preliminary). For a hospital adding feeds over the years, we'd tag each EHR table by source, so a new feed picks up the masks and grants its tag calls for.
Can Databricks load NYC Open Data beside our own tables?
Yes. The city's Open Data Law requires data created by agencies to be open by default, so it's published for anyone to load. The 311 Service Requests dataset and the Department of Buildings' job filings are two a New York property manager would want.
We'd ingest the ones you need on a schedule with Lakeflow, record each source and refresh date in Unity Catalog, and join them to your data. A property manager could then see 311 complaints next to its own work orders, with lineage showing which figure came from the city.
Can you satisfy a NYDFS Part 500 review?
We build the evidence the review asks for as a property of the platform rather than as a reporting exercise. Every domain change passes one pipeline, the event that explains it is written in the same transaction, and the trail reconstructs rather than approximates.
What we do not do is certify you: your auditor does that, and our job is to make the answer easy to produce.
Learn Databricks first, free
The engineers who do this work wrote a free manual for the platform, from the account up, with a guided first hour on Free Edition. Most teams have somebody who needs it before anybody needs us.
How to learn Databricks
A path from zero to production: what to read, what to build, which certification is worth sitting, and in what order.
Getting started on Free Edition
From a free account to a governed table, a dashboard, a Genie answer and a small agent, in about an hour and at no cost.
Gilbert Databricks User Group
The meetup we organise, with recordings of past sessions.
Also in New York
What else we build for New York companies.
AI Consulting & Development Company in New York
Your AI pilot is stuck short of production because nobody can show an examiner what it did with a customer's money.
Software Development Company in New York
Your ledger rewrite has sat on the roadmap for a year because every engineer you have is patching the old one.
App Development Company in New York
Your launch date is fixed, your users are waiting, and because the app moves money it also has to show an auditor who changed what.
Databricks consulting elsewhere
The same work, in other metros. The full list is here.
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