Data Architect

Itenium; Antwerpen; A distancia; EUR 85.000 - 130.000; Jornada completa

Descripción de la vacante

Itenium is seeking an experienced Data Architect to translate business objectives into scalable data architectures. You will lead data modeling efforts, design pipelines, and govern data assets while collaborating with BI and AI teams.

You will mentor engineers, implement Data Vault/ dimensional modeling, and ensure GDPR compliance across platforms. Strong communication with stakeholders is essential.

Formación

• 5+ years of experience as a Data Architect.
• Proven track record with data warehousing and analytics platforms.
• Experience with dimensional/star schema and Data Vault methodologies.
• Strong expertise in data governance, metadata management, and GDPR compliance.

Responsabilidades

• Analyze the existing data landscape and map dependencies, risks, and opportunities.
• Design and validate target architecture for scalable, secure data platforms.
• Develop data integration strategy including ETL/ELT, batch, and real-time processing.
• Provide governance, data lineage, and MDM practices across architectures.
• Mentor data engineers and analysts and promote standards and best practices.

Conocimientos

Data modeling

SQL proficiency

ETL/ELT development

Cloud platforms

Databricks

dbt

Kafka

Data governance

MDM

Herramientas

Azure Synapse

Databricks

SQL Server

Oracle

PostgreSQL

Collibra

Purview

Python

Descripción del empleo

Turn complex, cross-domain business questions into clear insights that drive decisions. You’ll work as a consultant on a client project, building dashboards and analyses that improve performance and transparency, supported by experts and a culture focused on quality and continuous learning.

Analyzing the existing data landscape (data warehouse, BI, integrations, data models) and mapping dependencies, risks, and opportunities for improvement. Translating business objectives into a scalable, secure, and high-performing target architecture.Designing and validating conceptual, logical, and physical data models.Developing the data integration strategy, encompassing ETL/ELT, batch processing, and real-time streaming. Formulating a migration roadmap from legacy systems to modern cloud and lakehouse platforms. Evaluating and selecting tools and platforms for data storage, integration, data quality, cataloging, and analytics. Structuring data governance framework, including data quality, metadata management, data lineage, master data management (MDM), and access control.Ensuring robust security, privacy, and GDPR compliance across all architectural decisions.Preparing data infrastructure for AI applications in close collaboration with BI and AI specialists.Mentoring data engineers and analysts, while driving the adoption of standards and industry best practices.

At least 5 years of experience as a Data Architect, built upon a strong foundation in data engineering, BI, or data analysis.

Proven track record with data warehousing and analytics platforms, preferably in comparable assignments.

Strong expertise in data modeling, specifically dimensional/star schema and Data Vault methodologies.

SQL Expertise

Advanced SQL proficiency and hands-on experience with ETL/ELT processes.

Experience with cloud data platforms, preferably Microsoft Azure, including cloud migration initiatives.

Solid understanding of data governance, metadata management, master data management (MDM), and GDPR compliance.

Ability to become operational quickly and work autonomously within new client environments.

A pragmatic mindset: applying architectural principles where they deliver tangible business value, rather than as an end in themselves.

Clear and persuasive communication skills, with the ability to engage effectively with developers, business stakeholders, and executive management.

Technologies and Knowledge

Cloud & platformen: Microsoft Azure (Fabric, Synapse, Data Factory, ADLS) or Databricks. Databases & DWH: SQL Server (SSIS, SSAS, SSRS), Oracle, PostgreSQL. Integratie: dbt, Spark, Kafka. Modellering: Kimball, Data Vault 2.0, 3NF. Governance: Microsoft Purview, Collibra. Python; NoSQL- graph-databases; TOGAF, CDMP or DAMA-DMBoK, Azure Solutions Architect Expert or Databricks Data Engineer Professional