Data Architect

Parallel Consulting

Brussels Metropolitan Area, Belgium

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.adzuna.be

Tech stack

Java (Programming Language) Agile Methodology Big Data C++ (Programming Language) Cloud Engineering Collaborative Software Data Architecture Data Infrastructure Data Integration Extract Transform Load (ETL) Data Systems Database Storage Structures

+26 more

Digital Assets Apache Hadoop Python (Programming Language) PostgreSQL Meta-Data Management Microsoft SQL Server MySQL NoSQL Pentaho Data Integration Cloud Services Scala (Programming Language) SQL Server Reporting Services SQL Server Integration Services Data Streaming Tableau (Software) Talend Visual Analytics Enterprise Data Management Data Processing Apache Spark Apache Kafka Data Management Tools for Reporting Video Streaming Data Pipelines Legacy Systems

Job description

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.

Requirements

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