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Databricks consulting · Philadelphia, PA

Databricks consulting for Philadelphia companies

Auditors want minimum-necessary access proven on every table, and a migration that can't show it stalls. We move your warehouse onto Databricks with row filters and column masks in Unity Catalog, so a Power BI report or an agent inherits the analyst's grant. HIPAA makes that the rule for Philadelphia's health systems, from Penn Medicine to Jefferson, and an insurer or a drugmaker across the river wants the same.

Founded

2017, and still independent

Bench

115+ engineers, 80 Databricks-certified

Experience

Fifteen years average, per engineer

Serving

Philadelphia, King of Prussia, Wilmington, Camden

Health systems and universities first, pharmaceutical manufacturing across the New Jersey and Delaware border, and an insurance sector older than either. If you're in one of them, a wrong answer from a model is a patient or a claim, and the system has to be built knowing that.

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 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.

Minimum necessary belongs in the platform

Philadelphia runs on health care. Penn Medicine, Jefferson and Children's Hospital of Philadelphia are among the region's largest employers, and Independence Blue Cross pays claims from Market Street. HIPAA's minimum-necessary standard covers all of them, so a report, a service account or an agent that reads more patient data than its task needs is a use the rule doesn't permit, whatever the intent behind it.

Minimum necessary usually lives in a policy and gets enforced in application code, one service at a time, which holds until the third tool arrives. We put the grant in the data platform instead, resolved at read time, so a Power BI report, a notebook and an agent all get the analyst's view and nothing wider. A shared service account with broad read access is the shortcut we refuse.

Work starts with an access inventory. Every identity that reads protected data, human or not, gets listed beside what its job needs, and the gaps become row filters and column masks in Unity Catalog before a single pipeline moves, and any agent's evals include a test that it can't see a record its user couldn't.

Clients we have done this for

Patient indexes and claims files are built from records stitched together across sources, and Athlinks needed a pipeline to do that for more than 400 million athlete records. The study shows the multi-tiered serverless architecture built on Temporal for it, with granular control, automated retries and real-time visibility across the whole run.

Health & Wellness

AthlinksAthlinks

Athlinks had more than 400 million athlete records from sources that never agreed on who an athlete was, and a matching run that died halfway through couldn't just start again. Our engineers took the project from prototype to production as a serverless pipeline on AWS with Temporal holding the state. Failed steps now retry on their own, failures reach Slack as they happen, and the matching rules are tuned for each tier.

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.

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.

A sentence or two is plenty, such as what it should do and what stands in the way today.

Goes straight to a senior engineer. By sending this you agree we can contact you about your enquiry, and occasionally about our work. Tell us to stop at any time and we will.

Around Philadelphia

PhillyBricks and the city's data meetups

PhillyBricks, the Philadelphia Databricks User Group, meets every few months on a weekday evening, alternating between Indy Hall in Northern Liberties and a coworking space in Paoli, and its evenings often pair a talk from Databricks engineers with networking. DataPhilly, about 6,100 members, runs evening talks on putting AI into production, often at Wharton's Huntsman Hall, and Philly Data & AI gathers for a monthly Tuesday happy hour on the Parkway.

A health system or an insurer moving claims data onto a lakehouse has one question that outweighs the rest, which is how row filters and column masks behave once Power BI reports, notebooks and agents all read the same tables. HIPAA's minimum-necessary rule applies to every one of those reads. Get the grants right once in Unity Catalog and every tool inherits them, which is far less work than auditing each tool on its own.

Map of the Philadelphia-Camden-Wilmington metro area11 counties: Bucks County, PA; Chester County, PA; Delaware County, PA; Montgomery County, PA; Philadelphia County, PA; New Castle County, DE; Cecil County, MD; Burlington County, NJ; Camden County, NJ; Gloucester County, NJ; Salem County, NJ. The lighter shape is Philadelphia city, and the red dot marks downtown Philadelphia.

The Philadelphia-Camden-Wilmington metro area. Pennsylvania: Bucks, Chester, Delaware, Montgomery and Philadelphia counties. Delaware: New Castle County. Maryland: Cecil County. New Jersey: Burlington, Camden, Gloucester and Salem counties.

Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.

  • User group · Every few months, weekday evenings

    PhillyBricks (Philadelphia Databricks User Group)

    Talks often come from Databricks engineers themselves, so ask how Unity Catalog row filters behave under Power BI before your migration depends on the answer.

    Volunteer organisers, part of the Databricks User Groups community. Indy Hall, Northern Liberties, or iThrive Coworking, Paoli.

  • Meetup · Roughly monthly, weekday evenings

    Data Science Philadelphia (DataPhilly)

    Huntsman Hall talks on taking models from notebook to production help a data lead judge how much of a migration plan is really about the analysts.

    Volunteer organisers. Rotates between Penn's Huntsman Hall, Slalom at Two Logan Square and Villanova.

  • University · Ongoing degree programme, fall and winter starts

    Master of Science in Data Science, Drexel University

    Drexel covers data governance and offers an optional graduate co-op, a realistic route to a junior engineer who already knows why access controls matter.

    Drexel University College of Engineering and Computing. Drexel University, University City, and online.

  • Meetup · Monthly, a Tuesday evening

    Philly Data & AI

    A monthly Tuesday happy hour on the Parkway is the low-effort way to meet the data engineers and students you may be hiring next.

    Volunteer organisers. Con Murphy's Irish Pub, 1700 Benjamin Franklin Pkwy, Center City.

  • University · Ongoing degree programme

    MSE in Data Science, University of Pennsylvania

    Students in Penn's data science MSE pick an applied specialisation, so it's worth asking the department which graduates chose health data before your next hire.

    Penn Engineering, University of Pennsylvania. University of Pennsylvania, University City.

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 Philadelphia: common questions

Do you work with Philadelphia 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 Philadelphia?

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 enforce minimum necessary access under HIPAA?

An agent or a service reads through the same grants a person would, resolved at read time. There is no service account with broad access sitting behind the application, because that is the shape that turns an inefficiency into a breach.

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.