Data & AI Platform Architect – Azure & Databricks

Editx; Merelbeke, Melle; On-site; EUR 100,000 - 170,000; Full time

Job summary

Editx in Belgium is seeking an experienced Enterprise Data & AI Platform Architect to shape the architecture vision and multi-year roadmap for the company’s data & AI initiatives.

You will define architecture patterns for data products, ML solutions, and generative AI, lead innovation with Azure OpenAI, RAG, and vector-based knowledge architectures, and establish governance standards. Collaborate with security, governance, and business stakeholders to align strategic technology decisions.

Qualifications

• Experience leading enterprise data & AI architecture.
• Ability to define architecture patterns for data products and ML solutions.
• Strong collaboration with security and governance teams.

Responsibilities

• Develop and maintain the architectural vision and multi-year roadmap for the enterprise Data & AI platform.
• Define architecture patterns for data products, machine learning solutions, and generative AI initiatives.
• Lead innovation initiatives involving Azure OpenAI, RAG, and vector-based knowledge architectures.
• Architect integration patterns between SAP, Databricks, and event-streaming platforms like Confluent Kafka.
• Establish architectural principles, guardrails, and standards for platform governance and responsible AI usage.
• Collaborate with security, governance, and business stakeholders to facilitate consensus on strategic technology decisions.

Skills

Azure OpenAI

RAG

Databricks

Confluent Kafka

SAP

Tools

Azure OpenAI

Job description

Responsibilities

• Develop and maintain the architectural vision and multi-year roadmap for the enterprise Data & AI platform.
• Define architecture patterns for data products, machine learning solutions, and generative AI initiatives.
• Lead innovation initiatives involving Azure OpenAI, RAG, and vector-based knowledge architectures.
• Architect integration patterns between SAP, Databricks, and event-streaming platforms like Confluent Kafka.
• Establish architectural principles, guardrails, and standards for platform governance and responsible AI usage.
• Collaborate with security, governance, and business stakeholders to facilitate consensus on strategic technology decisions.