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Databricks Architect

United Kingdom, London · Job Posted January 25, 2026
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Job Description

Join a dynamic team as a Data Solutions Architect, leveraging your expertise in modern big data platforms and Databricks Lakehouse architecture. Collaborate with stakeholders to design scalable solutions and drive data modernization initiatives.

Job Responsibility

  • Client Engagement & Delivery
  • Solution Design & Implementation
  • Modernisation & Transformation
  • Thought Leadership & Knowledge Sharing
  • Collaboration & Leadership

Requirements

  • 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
  • Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
  • Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
  • Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
  • Databricks platform expertise - Deep hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and multi-cloud implementations
  • Must be eligible for SC clearance
  • Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years in modern big data solution architecture
  • University degree required
  • BSc/MSc in Computer Science, Data Engineering, or related field preferred
  • Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable

Nice to have

  • Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
  • Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
  • Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
  • AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
  • Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing

What we offer

  • Tailored benefits that support physical, emotional, and financial wellbeing
  • Continuous growth and development opportunities
  • Flexible work options

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