Data product solution architect

Actum Digital
Brussels, Belgium
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Brussels, Belgium

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Apache HTTP Server
Batch Processing
Data Governance
Data Integration
ETL
Data Systems
Data Warehousing
Database Design
DevOps
Scrum
Power BI
Cloud Services
TensorFlow
Snowflake
GIT
Kubernetes
Data Analytics
QlikView
Data Management
Machine Learning Operations
Software Version Control

Job description

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. Your responsibilities will include:

  • 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.

  • Ensure alignment between solutions, data management and enterprise architecture standards. Required qualifications : What profile are we looking for this position: Must-have skills :

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

  • Experience designing and implementing enterprise-scale data solutions.

Requirements

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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