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Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry!
Job Responsibility
Solution Architect role focuses on designing digital platforms and supporting cross-functional teams with the implementation
Pre-sales support for new business acquisitions and on expansion of strategic accounts across DACH region
Opportunity assessment
Solution shaping
Proposal contribution and structured collaboration with senior stakeholders to support commercial growth objectives
Technology governance for ongoing engagements
Requirements
10+ years in software engineering, system design and solution architecture for large-scale, transaction-heavy digital platforms
Understanding of Retail & Consumer technology landscapes in DACH, including the key digital, platform, data, and modernization challenges facing the sector
Relevant experience gained either in-house or in IT services, including experience as a solution/application/platform architect in Retail & Consumer organizations
Background in IT services, digital engineering, or product/platform engineering environments strongly preferred
Proven success leading cross-functional engineering teams to deliver complex initiatives on time and at scale
Demonstrated ability to mentor and develop technical talent, fostering collaborative and high-performing teams
Strong experience working with senior stakeholders to translate business strategy into executable technical roadmaps
Fluency both in German and English languages
End-to-end architecture experience across enterprise digital platforms, user-facing applications, and backend systems in complex distributed environments
Strong background in platform integrations, including: Core enterprise systems and third-party services
External APIs and partner ecosystems
Payment, identity, and compliance-related services where applicable
Hands-on experience modernizing legacy platforms, including cloud migrations, microservices adoption, containerization, and API-first or event-driven architectures
Experience designing and integrating AI-enabled solutions into enterprise platforms, including: AI/ML-driven decisioning, personalization, or automation capabilities
Data pipelines supporting model training, inference, and monitoring (optional)
Integration of AI services into existing digital products and workflows
Understanding of MLOps practices, including model lifecycle management, deployment strategies, observability, and governance (optional)
Ability to collaborate with data scientists and AI engineers to productionize models reliably, securely, and at scale
Mastery of architectural patterns for high-availability, maintainable, and observable systems
Experience designing scalable data platforms, including: Data ingestion and streaming architecture
Data lakes and analytical platforms processing large data volumes
Preferred Qualifications: Track record delivering solutions across multi-brand, multi-region, or multi-tenant environments
Relevant certifications, such as: AWS, GCP or Azure Architect Professional
SEI
TOGAF
Nice to have
Track record delivering solutions across multi-brand, multi-region, or multi-tenant environments
AWS, GCP or Azure Architect Professional certification