Job Description

We are looking for an experienced Solution Architect to design, govern, and deliver scalable enterprise solutions with a strong focus on ArchiMate-based architecture modeling, high-volume B2B API integrations, and modern Data Lake platforms. The role requires close collaboration with business stakeholders, security teams, and delivery teams to ensure robust, secure, and future-ready architectures.

Key Responsibilities 

• Define and own end-to-end solution architecture for complex enterprise programs, ensuring alignment with business objectives and enterprise standards.
• Develop and maintain architecture models and views using ArchiMate, covering business, application, data, and technology layers.
• Design and govern B2B API integrations handling high data volumes, ensuring performance, scalability, and resilience.
• Architect solutions involving privileged access, including secure authentication, authorization, and access control mechanisms (OAuth, mTLS, API gateways, IAM).
• Design and oversee Data Lake architectures for large-scale structured and unstructured data ingestion, processing, and analytics.
• Ensure integration patterns support real-time, near-real-time, and batch data processing use cases.
• Collaborate with security, compliance, and risk teams to ensure architectures meet enterprise security and regulatory requirements.
• Provide technical leadership during solution design, reviews, and delivery phases, including RFPs and major change requests. 
• Produce clear and comprehensive architecture documentation (logical, physical, integration, and deployment views).
• Review and validate solution designs from technology, cost, scalability, and operational perspectives.
• Guide development teams on architecture standards, best practices, and reusable patterns.

Required Experience & Skills 

• Strong experience in Solution Architecture for enterprise-scale systems.
• Hands-on expertise in ArchiMate for enterprise and solution architecture modeling.
• Proven experience with B2B API integrations involving: 
  • High data throughput and large payloads
  • Secure and privileged access
  • API management platforms and gateways
• Deep understanding of integration patterns (sync/async, event-driven, streaming).
• Solid experience designing and implementing Data Lake architectures.
• Knowledge of data ingestion, storage, processing, and consumption layers.
• Exposure to cloud or hybrid data platforms is highly desirable.
• Strong understanding of security architecture, especially for APIs and data platforms.
• Experience working with IAM, access controls, and enterprise security standards.