Databricks Architect

Careerwise
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 110K

Job location

Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Data analysis
Cloud Computing
Data Architecture
Data Governance
Data Integration
Data Systems
Meta-Data Management
Azure
Data Streaming
Cloud Platform System
Sql Optimization
Spark
Microsoft Fabric
Data Lineage
Collibra
Data Management
Azure
Data Pipelines
Databricks

Job 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.

Requirements

? 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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