Data Architect

Stackstudio Digital.; Manchester; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading digital solutions provider in the UK is seeking a Senior Databricks Architect to design and deliver scalable data platforms utilizing Databricks. The ideal candidate has substantial experience at the architect level, successfully migrating data platforms and holds relevant certifications. Responsibilities include defining best practices and collaborating with data engineers and stakeholders. This role offers an opportunity to drive strategic data architecture initiatives.

Qualifications

• Several years' experience operating at architect level.
• Proven success designing or migrating data platforms into Databricks.
• Strong architecture background on comparable platforms.

Responsibilities

• Design end-to-end data architectures using Databricks for analytics, data engineering, and data science use cases.
• Lead and support data platform migrations into Databricks.
• Define architectural standards and best practices for Databricks implementations.

Skills

Architectural design

Databricks expertise

Data platform migration

Collaboration with data teams

Tools

Databricks

Snowflake

Job description

Databricks Architect

Role Overview

We are seeking a Senior Databricks Architect to lead the design and delivery of scalable, high-performance data platforms built on Databricks. This is a strategic role requiring strong architectural experience, hands‑on design capability, and a deep understanding of modern data ecosystems.

The ideal candidate will have several years' experience operating at architect level, with proven success designing and/or migrating data platforms into Databricks. Candidates with strong architecture backgrounds on comparable platforms (such as Snowflake) will also be considered, provided they hold relevant Databricks certifications.

Key Responsibilities

• Design end-to-end data architectures using Databricks for analytics, data engineering, and data science use cases.
• Lead and support data platform migrations into Databricks from legacy or alternative data platforms.
• Define architectural standards, best practices, and reference patterns for Databricks implementations.
• Collaborate with data engineers, platform teams, and stakeholders to translate business requirements<...>