Platform Architect Data

Description

• For Client, we are looking for an experienced Data & AI Platform Architect who will help guide the further development of our data and AI landscape.
• The architect works on a strategic and tactical level, helping the organization define the long-term vision, architecture principles, and technology roadmap for data and AI platforms. This involves close collaboration with enterprise architects, solution architects, platform teams, security, data governance and business stakeholders.
• The focus is on designing scalable, secure and future-oriented platform architectures that support the realization of data products, AI solutions and generative AI use cases within a complex enterprise environment.

Responsibilities

Strategic architecture and roadmap

• The consultant is responsible for developing and monitoring the architectural vision and multi-year roadmap for the Client Data & AI Platform. He/she translates strategic objectives into a future-oriented target architecture and defines the necessary architecture principles, reference architectures and standards. In addition, the consultant advises on technological choices, investments and the further evolution of the platform landscape.

Data & AI Platform Architecture

• The consultant defines and maintains architecture patterns for data platforms, data products, AI and machine learning solutions, Generative AI, Agentic AI and event streaming. In doing so, he/she monitors the coherence between performance, scalability, security, compliance and governance. The consultant also supports the various domain teams in the application and implementation of the architectural guidelines.

AI & Innovation

• The consultant takes a leading role in the development of architectures for AI solutions, including Azure AI Services, Azure OpenAI, Retrieval Augmented Generation (RAG), AI agents, machine learning solutions and knowledge architectures based on vector stores. He/she closely follows new developments within the AI domain, evaluates their relevance for Client and translates these into concrete architectural guidelines, guardrails and recommendations.

Integration & Data Ecosystem

• The consultant develops architectural patterns for the integration between the SAP landscape, Databricks, Azure services, Confluent Kafka, API platforms and other relevant components within the data ecosystem. He/she advises on event-driven architecture, data streaming and interoperability, with the aim of enabling efficient and secure data exchange between domains and platforms.

Governance & Stakeholder Management

• The consultant works closely with Enterprise Architecture, Data Governance, the Security Office, platform teams, product owners and business stakeholders. He/she facilitates architecture decisions, builds consensus between stakeholders and represents the Data & AI architecture framework within management meetings, architecture forums and strategic decision-making processes.

Expected results

• Developed and maintained Data & AI target architecture and roadmap.
• Architecture principles, standards and reference architectures for Data & AI.
• Advice and decision proposals on platform choices and innovative technologies.
• Architectural support of domain and platform teams.
• Guidelines and guardrails for AI, data and integration solutions.
• Active contribution to governance, decision-making and architectural maturity within Client.