Snowflake and Databricks specialists

From source systems to trusted answers, on Snowflake and Databricks.

We specialize in two platforms only. Our architects and engineers cover every layer of a Snowflake or Databricks platform, and they use agentic AI to get there faster.

Our core strength

Snowflake and Databricks. Nothing else.

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.

Snowflake

Data cloud architecture, engineering and AI.

  • Account, data cloud and data model architecture
  • Snowpark, Snowpipe Streaming and Dynamic Tables
  • Horizon governance, secure data sharing and access control
  • Cortex AI and Snowflake ML
  • Warehouse sizing, performance tuning and credit cost control

Databricks

Lakehouse architecture, engineering and AI.

  • Lakehouse and medallion architecture
  • Spark, Delta Lake and Lakeflow pipelines
  • Unity Catalog governance and lineage
  • Mosaic AI, MLflow and model serving
  • Cluster policies, performance tuning and DBU cost control

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.

Data strategy and architecture

Assess where your data is today, design where it needs to go and decide how Snowflake, Databricks or both fit. Includes data models, integration patterns and a roadmap your team can follow.

  • Target-state design
  • Snowflake or Databricks fit
  • Data modeling

Data engineering

Production-grade pipelines into Snowflake and Databricks from every source, with testing, monitoring and alerting built in from day one.

  • Snowpipe and Dynamic Tables
  • Delta Lake and Lakeflow
  • CDC

Platform migration

Move from legacy warehouses, Hadoop and on-premises systems to Snowflake or Databricks without losing history or breaking the reports people rely on.

  • To Snowflake
  • To Databricks
  • Teradata, Oracle, Hadoop

Analytics engineering

Clean, tested and documented models on Snowflake and Databricks, with shared metric definitions so everyone works from the same numbers.

  • dbt
  • Semantic layers
  • Metrics

Governance, quality and security

Catalogs, lineage, data contracts and access controls that make data trustworthy and keep it compliant.

  • Unity Catalog
  • Snowflake Horizon
  • Access controls

AI-ready data and agentic operations

Prepare your data for AI and machine learning, and put AI agents to work on the data lifecycle itself: profiling, testing, documenting and monitoring.

  • Snowflake Cortex
  • Mosaic AI and MLflow
  • Agent workflows

Analytics and visualization

Dashboards and self-service tools that answer real questions, built on governed Snowflake and Databricks data.

Cost and performance optimization

Right-size warehouses and clusters, tune slow queries and jobs, and put guardrails on spend so the platform stays fast and the bill stays predictable.

  • Credit monitoring
  • DBU cost control
  • Query tuning
  • Power BI
  • Tableau
  • Sigma

Faster, because agents do the groundwork

Our agentic AI toolkit speeds up the slowest parts of data projects. Our engineers review and approve everything it produces, so you get speed without giving up quality or control.

Before

  • Weeks spent mapping source tables by hand
  • Tests and documentation left until the end
  • Data issues found by the people reading reports

With Frost and Mortar

  • Sources profiled and mapped by agents in hours
  • Tests and docs generated as the code is written
  • Anomalies flagged before anyone sees a bad number

Healthcare data

Health systems run on some of the most complex data in any industry. We place architects and engineers who already know it.

From Epic Clarity and Caboodle to FHIR APIs and claims feeds, our people understand clinical, financial and operational data, the privacy obligations that come with it, and how to model it in Snowflake and Databricks.

  • EHR data platformsEpic Clarity, Caboodle and Cogito; Oracle Health
  • InteroperabilityFHIR, HL7 v2, payer and provider data exchange
  • Quality and regulatory reportingMeasures, registries and compliance data
  • Operational analyticsCapacity, throughput, revenue cycle and workforce

Two core platforms, and the ecosystem around them

  • Snowflake
  • Databricks
  • dbt
  • Fivetran
  • Airflow
  • Kafka
  • Apache Iceberg
  • Terraform
  • AWS
  • Azure
  • Google Cloud
  • Power BI
  • Tableau
  • Sigma

Have a data problem worth solving?

Tell us about it. We will suggest the right Snowflake or Databricks specialists and the fastest path to an answer.