Data Platform Architect

TL;DR

Data Platform Architect (Data/AI): Design and oversee modern enterprise data platforms that translate business and analytics requirements into scalable, future-proof data architectures with an accent on performance, scalability, maintainability, and end-to-end data solutions. Focus on assessing existing architectures, improving bottlenecks, and leading technical advisory and sales proposal work for cloud-based BI and AI use cases.

Location: Flanders/Brussels, Flanders/Brussels, Belgium

Company

Sopra Steria provides tailored end-to-end corporate technology and software solutions for clients across Europe.

What you will do

• Design and implement high-quality data solutions and enterprise data architectures for client value.
• Collaborate with multidisciplinary experts to define data strategy, architect solutions, and develop delivery roadmaps.
• Assess existing data architectures, identify pain points and bottlenecks, and propose performance, efficiency, and scalability improvements.
• Lead technical work in sales proposals and business development initiatives, acting as a subject matter expert for client advisory.
• Support internal team members and participate in knowledge sharing.
• Work with data models and data flow diagrams, including data integration patterns and migrations (on-premises to cloud).

Requirements

• At least 7 years of professional experience, preferably in consulting.
• At least 3 years of experience as a Data Architect.
• Hands-on experience as a data engineer with cloud & database technologies, ETL flows, distributed computing, and CI/CD processes.
• Experience designing and implementing performant, scalable, reliable, future-proof data solutions in cloud environments for BI and/or ML/AI use cases.
• Ability to translate business requirements into technical solutions; TOGAF certification is a plus.
• Proficiency in English and Dutch or French.

Culture & Benefits

• Work within the Data Foundations practice in the Data & AI team, combining data engineering, architecture, AI, analytics, governance, and visualization.
• Build scalable, secure, and maintainable data pipelines and architectures using tools like Databricks, Azure, SQL, and Snowflake.
• Improve reliability and data quality through automation, testing, and monitoring in a collaborative, fast-learning environment.
• Access continuous learning and career development via Sopra Steria Academy and an international network.
• Employee benefits include mobility options (including a company car), insurance coverage, meal vouchers, and eco-cheques.

Hiring process

• Application review followed by interviews to assess technical fit and collaboration approach.
• Evaluation of experience with data architecture, cloud platforms, and client advisory/sales proposal work.