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Databricks Architect (London, ENG)

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Summary

Senior data architect leading the design of enterprise lakehouse data platforms using Databricks, Spark and the Azure stack (Fabric, Data Lake, Synapse, Purview), covering data modelling, integration pipelines, governance and technical mentoring. Roles available in London or Munich; salary up to £94K / €110K.

Role - Databricks Architect

There are 2 locations for this role - Location: London / Germany (Munich) / Nearshore

Salary – Upto £94K/ Euro 110K


We're looking for an experienced Data Architect to join a growing AI & Data Team, leading the design of modern, scalable data platforms that power analytics, automation and AI across the enterprise.

What you'll be doing:

  • Design and own enterprise data architecture across modern cloud and lakehouse platforms, enabling business intelligence, analytics and AI initiatives.
  • Develop conceptual, logical and physical data models, creating trusted, reusable data assets that support reporting and advanced analytics.
  • Define data integration architecture for batch, streaming, API and event-driven data pipelines, ensuring scalability and performance.
  • Establish best practices for Data Governance, Data Quality, Metadata Management, Data Lineage, security and privacy across the data estate.
  • Work closely with Data Engineers, Product Owners and business stakeholders to translate business requirements into robust, secure and maintainable data solutions.
  • Provide technical leadership through architecture reviews, standards, design governance and mentoring, while driving best practice across engineering teams.
  • Leverage modern cloud technologies including Databricks, Spark, Microsoft Fabric, Azure Data Lake, Synapse and Azure Purview to deliver enterprise-grade data platforms.

Essential Skills:

✔ Strong experience with Databricks and modern lakehouse architectures.

✔ Expertise in Data Governance, Data Quality, Metadata Management, Data Integration and Enterprise Data Architecture.

✔ Advanced SQL, data modelling and cloud data platform experience.

✔ Excellent stakeholder management and communication skills.

✔ Proven track record delivering enterprise data architecture in production environments.


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