Data Architect
hace 7 días
London
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 FundamentalsWhat 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., • 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