This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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