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Job Description

Data Architect - Databricks

£120,000-£125,000 base + benefitsLondon (Hybrid: 2-3 days per week onsite)

We're looking for an experienced Data Architect who can shape and deliver large-scale analytics platforms using Databricks and modern Lakehouse principles. This role is ideal for someone who enjoys working directly with clients, influencing data strategy, and designing high-quality, scalable solutions that enable AI, advanced analytics, and enterprise reporting.

You'll join a growing architecture team where you'll play a key part in defining best practices, leading engagements, and supporting clients at the early stages of their data transformation journeys.

What You'll Bring

Extensive experience designing and delivering end-to-end data platforms using Databricks, with a strong focus on Lakehouse Architecture, Delta Lake, and scalable data engineering patterns. A solid background in data analytics, consulting, or a similar technical discipline. Strong knowledge of structured and unstructured data patterns, and fluency in data modelling approaches such as 3NF, Kimball, and Data Vault. Hands-on experience exposing Lakehouse solutions to BI tools (e.g. Power BI, Tableau). Proficiency in Databricks Workflows, Delta Live Tables, and Spark for batch and streaming pipelines. Strong programming capability in Python, Scala, and/or SQL. Practical experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of how Databricks interacts with cloud compute, storage, networking, and security. Familiarity with RBAC, IAM, encryption, and Databricks security best practices. Clear and confident communication skills, with the ability to work with both technical and business stakeholders.

Useful Certifications (Not Essential)

Databricks Data Engineer Associate / Professional Databricks Machine Learning Associate / Professional Databricks Generative AI Fundamentals Databricks Lakehouse Fundamentals

What You'll Do

Design and implement modern Lakehouse solutions that optimise data ingestion, transformation, processing, governance, and analytics. Advise clients on best practices, architecture patterns, and scalable approaches to building data platforms. Build strong relationships with stakeholders, clearly articulating architectural decisions and trade-offs. Help shape client data strategies, including governance, quality frameworks, and delivery approaches. Lead architectural workstreams or full engagements, ensuring delivery aligns with scope, budget, security, and performance expectations. Troubleshoot, tune, and optimise Databricks solutions for cost and efficiency. Implement governance and cataloguing through tools such as Unity Catalog or Microsoft Purview. Drive CI/CD adoption using GitHub Actions, Azure DevOps, or Databricks Repos. Support testing, documentation, and handover to operational teams. Contribute to internal architectural frameworks, reusable accelerators, and best-practice patterns. Support proposals, RFIs/RFPs, and develop innovative proof-of-concept solutions.

What You Can Expect

You'll join a supportive environment that champions professional development and continuous learning. Benefits include:

Generous annual leave Private medical cover Wellbeing support Ongoing investment in training and certification A culture that recognises high performance and offers opportunities to shape impactful client outcomes

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.