Databricks Architect & AI Platform Lead — Hybrid

Primus Connect; Manchester, Greater London; Hybrid; GBP 117,000 - 143,000; Full time

Benefits offered by this job

Bonus

Benefits

Flexible working arrangements

Job summary

Primus Connect is seeking a Databricks Architect/ Champion in the UK, with hybrid work options in Manchester or London. The role offers up to £130k (DOE) plus bonus and benefits and focuses on designing enterprise Databricks platforms and driving data strategy for diverse clients.

You will lead Lakehouse implementations across Azure, AWS and GCP, mentor engineers, and shape governance, security and cost optimisation practices while staying at the forefront of Databricks innovations.

Qualifications

• Experience designing enterprise Databricks solutions.
• Ability to lead Data & AI platform architecture across cloud providers.
• Strong client-facing and consulting capabilities.

Responsibilities

• Designing and implementing enterprise-scale Databricks solutions
• Leading Data & AI platform architecture across Azure, AWS and GCP
• Working directly with senior client stakeholders to turn business challenges into technical solutions
• Delivering modern Lakehouse architectures, real-time analytics, AI and Machine Learning capabilities
• Championing best practices around governance, security, performance and cost optimisation
• Mentoring engineers and helping build a world-class Data & AI capability
• Staying ahead of the latest Databricks innovations and bringing fresh thinking to clients

Skills

Lakehouse Architecture

Unity Catalog

Spark

MLflow

Python

SQL

Cloud platforms

Job description

Primus Connect is seeking a Databricks Architect/ Champion in the UK, with hybrid work options in Manchester or London. The role offers up to £130k (DOE) plus bonus and benefits and focuses on designing enterprise Databricks platforms and driving data strategy for diverse clients.

You will lead Lakehouse implementations across Azure, AWS and GCP, mentor engineers, and shape governance, security and cost optimisation practices while staying at the forefront of Databricks innovations.