Snowflake and Databricks specialists
We specialize in two platforms, Snowflake and Databricks, and place the people who build on them directly inside your team. Working with agentic AI, they turn raw data into trusted insight in days, not months.
Most agencies send profiles and step away. We stay with every engagement, because the outcome is the product: pipelines that run, models people trust and answers that arrive in time to matter.
Add Snowflake and Databricks architects and engineers who already know your platform, start contributing in the first week and leave your team stronger when they go.
See how hiring worksGo deep on Snowflake and Databricks, alongside peers who share what they know. Grow your skills with every engagement, not just between them.
Why engineers joinOur core strength
We specialize in two platforms only. That focus is our core strength: every architect and engineer we deploy works in Snowflake or Databricks every day, knows its patterns, pitfalls and cost levers, and contributes from the first week.
Data cloud architecture, engineering and AI.
Lakehouse architecture, engineering and AI.
Running both, or moving to one? Our people design Snowflake and Databricks to work side by side on open table formats such as Apache Iceberg, and migrate from Teradata, Oracle, SQL Server, Netezza and Hadoop without losing history.
Our people work inside your team, on your problems, with your stakeholders, from scoping through handover.
We start from the decision you need to make and the data behind it, not a job description.
We pick architects and engineers we know by name, matched to your Snowflake or Databricks platform and your domain.
They join your standups and your backlog. Productive in the first week, not the first quarter.
AI agents handle the repetitive work so our people spend their time on design and judgment.
Documentation, knowledge transfer and patterns your team keeps long after the engagement ends.
Snowflake and Databricks specialists across every layer, from the first source connection to the answer on a leader's screen.
Target-state designs, platform selection and data models that hold up as the business grows.
Reliable, tested pipelines from every source system, batch and streaming.
Clean, documented models and metrics that analysts and AI can use with confidence.
Lineage, catalogs, access controls and quality checks built in, not bolted on.
Data foundations ready for AI, and AI agents that speed up the data work itself.
Every Frost and Mortar engineer works with an agentic AI toolkit. It takes on the hours of mapping, scaffolding and checking that slow data projects down, so time to first insight drops from months to days.
Health systems hold some of the most complex data anywhere. Our architects and engineers know EHR data models, interoperability standards and the privacy rules that come with them, and how to land it all in Snowflake or Databricks.
The people we deploy belong to a community, and that is what makes them better at your work.
Our engineers work on problems that matter: faster care decisions, cleaner reporting, better products. They know why the work counts.
Peer reviews, build nights and shared playbooks mean every engineer brings the experience of the whole group to your project.
Mentorship, certifications and hands-on agentic AI training keep skills current, so your team gets today's best practice.
Tell us what you are trying to answer on Snowflake or Databricks. We will tell you who can help and how quickly.
