Data Architect

Do you want to start a new professional challenge?Check out our new opportunity!We are looking to incorporate aData Architectto our team.About usWe are an IT Consultant Group that provides services and creates digital solutions to improve the lives of citizens across Europe.Check out our website: Our project and teamThis is your opportunity to start working on international projects with a highly qualified team and applying the latest technologies.You will join our European team, specifically the one involved in several projects for a significant European Agency.Minimum RequirementsRequired KnowledgeKnowledge of enterprise data architecture methods and reference models (e.g., DAMA-DMBOK, data mesh principles, data fabric patterns).Knowledge of data modelling approaches: 3NF, dimensional/star-schema, and Data Vault 2.0; experience with modelling languages/tools (e.g., ER, UML, ArchiMate; ERwin, SAP PowerDesigner).Experience with metadata and cataloguing platforms to govern lineage and ownership (e.g., Collibra, Alation, Azure Purview; OpenLineage).Knowledge of data governance and quality frameworks (e.g., ISO **, ISO/IEC **), including stewardship, data domains, and controls.Understanding of privacy, security, and compliance requirements (e.g., GDPR, ISO/IEC ***), including encryption, key management, RBAC/ABAC, and data residency.Experience with integration patterns and pipelines: ETL/ELT, CDC, event streaming (e.g., Kafka, Debezium) and orchestration (e.g., Airflow, Azure Data Factory, Dagster).Knowledge of lakehouse and warehouse architectures, table/format standards (e.g., Delta Lake, Apache Iceberg, Apache Hudi) and columnar formats (e.g., Parquet).Experience with cloud data platforms such as Azure Synapse/Databricks/Microsoft Fabric, Snowflake, Amazon Redshift.Knowledge of relational and NoSQL data stores and when to apply them (e.g., PostgreSQL/Oracle; MongoDB, Cassandra; time-series/graph).High level of English.Main ResponsibilitiesDevelop and implement the organization’s overarching data strategy, creating blueprints for data management that align with and enable key business objectives.Translate business requirements into technical specifications and data architecture designs, ensuring the data infrastructure supports both immediate and long-term needs.Create conceptual, logical, and physical data models (e.g., dimensional for analytics) that define data structure, relationships, and storage.Maintain metadata repositories to ensure data accuracy, lineage, and integration, curating both technical and business metadata for clarity.Architect solutions to integrate data from disparate sources (ERPs, CRMs) using ETL/ELT processes and tools (e.g., Apache NiFi, Talend) into a unified framework.Build and manage streaming data pipelines (e.g., using Kafka, Spark Streaming) to support real-time analytics and decision-making.Define and enforce data governance policies, including data quality standards, lineage tracking, access controls, and a data catalog.Implement security protocols (encryption, RBAC) and design architectures to ensure adherence to regulations like GDPR.Implement processes for data profiling, validation, and cleansing to ensure ongoing data accuracy, consistency, and reliability.SkillsCapacity to leverage storytelling in data architecture communications.Ability to synthesize long-term business objectives with technical feasibility to guide project vision and validate architectural decisions.Ability to understand, speak and write English, optionally French as an additional asset.Ability to work in a team as well as autonomously.Ability to participate in multilingual meetings.Excellent interpersonal and communication skills.Results-oriented mindset, focused on delivering.This job offer has been drafted with impartiality and non-discrimination on the basis of gender, race, ideology or any other grounds in mind.In particular, it complies with current regulations on gender equality between women and men (Royal Decree-Law **)#J-**-Ljbffr

Required Knowledge Knowledge of enterprise data architecture methods and reference models (e.g., DAMA-DMBOK, data mesh principles, data fabric patterns). Knowledge of data modelling approaches: 3NF, dimensional/star-schema, and Data Vault 2.0; experience with modelling languages/tools (e.g., ER, UML, ArchiMate; ERwin, SAP PowerDesigner). Experience with metadata and cataloguing platforms to govern lineage and ownership (e.g., Collibra, Alation, Azure Purview; OpenLineage). Knowledge of data governance and quality frameworks (e.g., ISO **, ISO/IEC **), including stewardship, data domains, and controls. Understanding of privacy, security, and compliance requirements (e.g., GDPR, ISO/IEC ****), including encryption, key management, RBAC/ABAC, and data residency. Experience with integration patterns and pipelines: ETL/ELT, CDC, event streaming (e.g., Kafka, Debezium) and orchestration (e.g., Airflow, Azure Data Factory, Dagster). Knowledge of lakehouse and warehouse architectures, table/format standards (e.g., Delta Lake, Apache Iceberg, Apache Hudi) and columnar formats (e.g., Parquet). Experience with cloud data platforms such as Azure Synapse/Databricks/Microsoft Fabric, Snowflake, Amazon Redshift. Knowledge of relational and NoSQL data stores and when to apply them (e.g., PostgreSQL/Oracle; MongoDB, Cassandra; time-series/graph). High level of English., Capacity to leverage storytelling in data architecture communications. Ability to synthesize long-term business objectives with technical feasibility to guide project vision and validate architectural decisions. Ability to understand, speak and write English, optionally French as an additional asset. Ability to work in a team as well as autonomously. Ability to participate in multilingual meetings. Excellent interpersonal and communication skills. Results-oriented mindset, focused on delivering.

We are an IT Consultant Group that provides services and creates digital solutions to improve the lives of citizens across Europe. Check out our website: Our project and team This is your opportunity to start working on international projects with a highly qualified team and applying the latest technologies.