Arhitecture Lead Consultant (m/f/d)
- Frankfurt (50%) and Remote
- Start: 01.06.2026 (ASAP)
- 4 weeks ago
- Job type:
- Project
- Duration:
- 31.12.2026 + Option
- Scope of work:
- full-time - (100%)
- Languages:
- German, English
ID: 178674
Westhouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT lifecycle management, SAP, engineering, commerce and specialist consultancy.
For our client we are currently looking for a Arhitecture Lead Consultant (m/f/d) - Frankfurt (50%) and Remote.
Your tasks
- Defines the product line's foundational architecture, governance, and standards
- Ensures strong architectural alignment with the platform, other product lines, and product management
- Oversees technology selection to ensure a robust, scalable, and coherent technical foundation
- Guarantees cross-product architectural integrity through architecture reviews and guidance
- Manages architectural risk across the product line
- Ensures architectural documentation is consistently created and maintained
- Consulting of stakeholders’ architects and embedding architectural principles
- Guarantees consistent architecture processes and methodologies
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Your qualifications
- Minimum 3 years of hands-on project experience as an lead architect in the context of critical systems (on-premise Data Infrastructure for Operations and End Users)
- Profound understanding and expertise of the concepts behind the resource hierarchy of public cloud providers as well as the lifecycle of managed services offerings.
- Proven experience in a lead architect role in building cloud-native platforms, including Data platforms, observability frameworks
- Demonstrated development and architecture experience with Cloud-Native technologies, Kubernetes-related tooling and frameworks (including architecture patterns around micro-services, brokering (pub-sub), event sourcing, load balancing, fault tolerance, high availability, scalability)
- Proven ability to decompose architecture designs and proof-of-concepts (POCs) into structured, actionable work items, enabling and guiding engineering teams through implementation
- Demonstrated ability to proactively drive architectural decisions, align with cross-functional stakeholders, and iteratively refine platform and product requirements in complex environments.
- Proficiency in reference Big Data architectures (Warehouse, Data Lake, Data Lakehouse) and their implementation
- Knowledge and experience with Integration patterns
- Proven hands-on experience in software and distributed system development, including data intensive applications.
- Strong focus on DataOps/DevOps