Data Architect

Parallel Consulting; Brussel Hoofdstad; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Parallel Consulting in Belgium is seeking a Senior Data Architect to design and maintain enterprise data architecture, ensuring scalable, secure, and efficient data solutions across the organisation. You will lead data integration strategies and oversee ETL/ELT processes across multiple data sources and platforms.

As a subject-matter expert, you will develop data models, governance frameworks, and roadmaps, while collaborating with stakeholders to maximise the value of data assets and enable

Qualifications

• Strong experience in Data Architecture, Data Modelling, and Enterprise Data Management.
• Expertise with relational and NoSQL databases, including SQL Server, MySQL, PostgreSQL, and other modern data platforms.
• Experience with data integration and ETL tools such as SSIS, Talend, Pentaho, or similar technologies.
• Knowledge of big data and streaming technologies including Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Python, Java, Scala, or C++.
• Experience with cloud data platforms, metadata management, lineage tools, and cloud architecture frameworks.
• Familiarity with visual analytics and reporting tools such as Tableau and SSRS.
• Experience working with Agile methodologies and collaboration tools

Responsabilités

• Design and maintain enterprise data architecture for scalable, secure data solutions.
• Develop and oversee data integration, ETL/ELT processes, and data pipelines across sources and platforms.
• Act as subject matter expert for data architecture and guidance on data initiatives.
• Design and maintain data models, database structures, and data management frameworks.
• Lead development of real-time and batch data processing capabilities including data streaming.
• Ensure data quality, security, governance, and compliance standards are embedded across data platforms.
• Develop technology roadmaps for data architecture aligned with organisational objectives.
• Support data migration activities from legacy to modern platforms with minimal disruption.
• Collaborate with stakeholders to promote data-driven decision-making and maximise data value.

Connaissances

Data Architecture

Data Modelling

Enterprise Data Management

SQL & NoSQL

ETL/ELT Tools

Big Data & Streaming

Programming (Python/Java/Scala/C++)

Cloud Data Platforms

Tableau/SSRS

Agile Methodologies

Outils

SQL Server

MySQL

PostgreSQL

SSIS

Talend

Pentaho

Hadoop

Spark

Kafka

Description du poste

• Design and maintain enterprise data architecture, ensuring scalable, secure, and efficient data solutions.
• Develop and oversee data integration, ETL/ELT processes, and data pipelines across multiple data sources and platforms.
• Act as the subject matter expert for data architecture, providing guidance on data-related initiatives and projects.
• Design and maintain data models, database structures, and data management frameworks to support business and analytics requirements.
• Lead the development of real-time and batch data processing capabilities, including data streaming solutions.
• Ensure data quality, security, governance, and compliance standards are embedded across all data platforms.
• Develop technology roadmaps for data architecture, aligning future capabilities with organisational objectives.
• Support data migration activities from legacy systems to modern platforms while minimising business disruption.
• Collaborate with stakeholders to promote data-driven decision-making and maximise the value of organisational data assets.

Skills & Experience

• Strong experience in Data Architecture, Data Modelling, and Enterprise Data Management.
• Expertise with relational and NoSQL databases, including SQL Server, MySQL, PostgreSQL, and other modern data platforms.
• Experience with data integration and ETL tools such as SSIS, Talend, Pentaho, or similar technologies.
• Knowledge of big data and streaming technologies including Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Python, Java, Scala, or C++.
• Experience with cloud data platforms, metadata management, lineage tools, and cloud architecture frameworks.
• Familiarity with visual analytics and reporting tools such as Tableau and SSRS.
• Experience working with Agile methodologies and collaboration tools