S

Snap Analytics Tech Stack

Data platform strategy and implementation for enterprise migrations

Information Technology & Services Bristol, England 51–200 employees Founded 2019 Privately Held

Snap Analytics designs and builds data infrastructure for Fortune 500 and FTSE 250 companies across CPG, manufacturing, financial services, and energy. The stack reveals a modern, cloud-first operation: Snowflake, Databricks, AWS, Azure, and dbt form the core, with Matillion and Fivetran handling integration. The hiring pattern—16 data roles against 1 engineering hire, heavily weighted toward senior and director-level—signals a services-led delivery model scaling greenfield platform builds and enterprise migrations rather than product development.

Tech Stack 33 technologies

Core StackSnowflake Matillion Databricks AWS Power BI Power Query AWS Glue SQL Server PL/SQL Bitbucket Python Redshift BigQuery Fivetran dbt PySpark Unity Catalog Terraform SQL Azure Power BI Desktop Power BI Gateway Microsoft Fabric DAX dbt Core Git Jinja Azure Data Services Spark SQL Databricks Asset Bundles+3 more

What Snap Analytics Is Building

◆Challenges

Enterprise migrations
Scalable delivery model
Capability-wide databricks enablement
Scalable databricks environments
Modernising data platforms
Lack of full-time owner
Lack of mid-level consultants
Leadership split across senior leaders
Bridge gap between junior and senior leads
Optimizing data pipelines

▲Active Projects

Greenfield data platform builds
Large scale modernisation project
Pipeline rebuild on modern architectures
Databricks-based analytics platform solutions
New workstream embedding
New data product go live
Mvp for client demonstrations
Enterprise migrations
Modern data platform projects
Enhancements to data platform

Hiring Activity

Steady20 roles · 8 in 30d

Department

Data

16

Engineering

1

Seniority

Senior

8

Director

3

Mid

3

Principal

2

Junior

1

Notable leadership hires: Delivery Director

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About Snap Analytics

Snap Analytics provides data strategy and implementation services to large enterprises. Founded in 2019 and based in Bristol, the firm operates across data platform architecture, AI readiness assessments, SAP data strategy, cloud migration, and analytics. They work with clients to modernize legacy environments, build scalable Databricks and Snowflake deployments, and activate use cases in machine learning and generative AI. The team includes recognized partners in AWS, Snowflake, Matillion, Databricks, and dbt, and they hire across the UK, India, and South Africa.

HeadquartersBristol, England

Company Size51–200 employees

Founded2019

Hiring MarketsSouth Africa, United Kingdom, India

Frequently Asked Questions

What tech stack does Snap Analytics use?

Primary: Snowflake, Matillion, Databricks, AWS, Azure, dbt. Also: SQL, Power BI, AWS Glue, Fivetran, BigQuery, Spark, PySpark, Terraform, Git, and Microsoft Fabric.

What is Snap Analytics working on?

Greenfield data platform builds, enterprise migrations, Databricks-based analytics implementations, pipeline modernization, and large-scale platform enhancements for clients.