Data product solution architect, Brussels

act digital is an international consulting and engineering group that supports its clients in their digital transformation projects.

Present in 12 countries and with more than 6,000 employees, we leverage our expertise to address their challenges in software development, cybersecurity, data, cloud, and AI.

Our ambition: to become the trusted technology partner of the most innovative companies, by designing and securing systems that enhance their performance and resilience.

Joining act digital means becoming part of an agile and committed organization that works closely with its clients to turn ideas into concrete results, with pragmatism and high standards.

Job Description You will join our team of experts in data and analytics.

Responsibilities

Participate in Program Increment preparation by conducting feature intakes.

Design and architect scalable, resilient data solutions incorporating data products and data integration components.

Create detailed technical specifications, architecture diagrams and implementation roadmaps.

Support product owners and scrum master with architectural guidance.

Guide teams through technical challenges and architectural decisions.

Evaluate and recommend appropriate technologies, platforms and tools.

Guard data quality, security and compliance requirements.

Optimize existing architectures for performance, cost and maintainability.li>

Ensure alignment between solutions, data management and enterprise architecture standards.

Profile / Requirements Must-have skills:

Experience in solution architecture (or similar role) of data solutions.

Experience designing and implementing enterprise-scale data solutions.

Proven experience in delivering data solutions.

Experience with agile methodologies and DevOps practices.

Good knowledge of cloud data platforms and AWS.

Experience with modern BI tools and visualization platforms.

Proficiency in data modelling and database design.

Knowledge of data integration patterns and ETL/ELT processes.

Familiarity with data governance, data management processes and security frameworks.

Strong communication and presentation skills.

Strong analytical and problem-solving abilities.

Ability to manage competing priorities and deadlines.

Experience with, notions of or profound interest in (nice to have):

Data Warehousing&Data lakes: Snowflake, Apache Iceberg or similar

Real-time and batch processing

BI Tools: Power BI, Qlik or similar

AI/ML Frameworks: MLFlow, Sagemaker, ... or similar

GenAI architectures and components (e.g. Vector stores)

Version Control Systems (Git)

CI/CD pipelines

Infrastructure as Code

Data modeling tools

Container orchestration (Kubernetes)

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