Data architect

Brussel, Brussel

Data Architect Position

Understand domain requirements and design and develop conceptual, logical, and physical data models to support business needs.
Model data/information flows, select the right pattern and associated integration tool (e.g., CDC, Batch processing, streaming, etc.).
Assess the data workload and identify the right integration method/pattern across various integration endpoints, ensuring efficient and scalable data exchange.
Work closely with engineers to design and optimize data pipelines for ETL/ELT processes.
Collaborate with cross-functional teams, including software engineers, business analysts, solution architects, and enterprise architects to align data architecture with project requirements.
Ensure compliance with industry standards, regulatory compliance, and best practices in data architecture and data governance.
Identify and assess the master data requirement for the program and align with the MDM team.
Develop architecture decisions and guidance for database selection with consideration to cloud platforms (if in scope) and/or for hybrid-cloud scenarios.

Experience working as a hands-on data architect in a large organization, regularly taking responsibility for complex technical decisions and seeing them through to completion.
Expertise in assessing business requirements and technical needs and developing data/information architecture and designs for simple to complex cases.
Experience working with complex decisions involving tactical and strategic solutions. Ensure tactical solutions can be scaled to build strategic solutions without disruption.
Ability to understand business requirements and technical alignment to develop conceptual, logical, and physical data models to support business needs.
Ability to architect data flows and integrations across various platforms, ensuring efficient and scalable data exchange.
Experience delivering solutions within large-scale program deliveries.
Expertise in working in different delivery modes, e.g., waterfall, Agile, and converged (waterfall and agile mode - package solution with custom application) in case of large/complex programs, e.g., Legacy modernization.
Ability to communicate effectively to both technical and non-technical stakeholders.
Strong awareness of cybersecurity and information governance; good understanding of privacy by design and security by design principles.
Experience within the automotive industry or supply chain is considered a plus.

Expertise in Architecture Modeling tools for Enterprise Architecture and Data/Information Architecture (any competitive tool).
Experience in Bizzdesign and Powerdesigner/Erwin/Hackolade is considered a plus.
3+ years of experience in data architecture, data modeling, or data engineering.
Strong knowledge of data modeling techniques (relational, dimensional, and NoSQL modeling).
Experience with cloud-based data platforms (AWS & Azure) and modern data warehouses (Snowflake, Redshift, BigQuery, etc.).
Proficiency in ETL/ELT processes and data integration tools (Informatica, Talend, dbt, etc.).
Hands-on experience with SQL, Python, or Scala for data processing.
Familiarity with data governance frameworks and best practices.
Experience with API-based data integration, microservices, and event-driven architectures.
Excellent problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.
Experience with real-time data processing (Kafka, Spark Streaming, etc.).
Understanding of machine learning model deployment and data science workflows.
Certification in cloud data services (AWS Certified Data Analytics, Azure Data Engineer, etc.) is considered a plus.

Location: Brussels

Hybrid Work: Minimum 2 days onsite

Start Date: ASAP until the end of the year