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Databricks Architect (London, ENG)

Skills

aianalyticsapiautomationazurebusiness intelligenceclouddata governancedata lakedata lineagedata modelingdata pipelinesdata qualitydatabricksevent driven architecturelakehousemetadata managementmicrosoft fabricsparksqlstakeholder managementAzureSpark

Description

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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