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# Databricks Architect

- **Company:** Careerwise
- **Location:** London, UK
- **Salary:** £94,000.0 - £110,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Computing, Data Architecture, Data Governance, Data Integration, Data Systems, Meta-Data Management, Azure Data Lake, Data Streaming, Cloud Platform System, Sql Optimization, Apache Spark, Microsoft Fabric, Data Lineage, Collibra, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 15, 2026
- **Apply:** https://computerjobs.com/gb/en/mob/job/93270E66DF292CA8EE

## About the Role

? 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.

## 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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