Data Architect

🧠 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 8000, ISO/IEC 11179), including stewardship, data domains, and controls.
• Understanding of privacy, security, and compliance requirements (e.g., GDPR, ISO/IEC 27001), 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 Responsibilities

• Develop 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.

• 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.

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 6/2019)

Do you want to start a new professional challenge? Check out our new opportunity!

We are looking to incorporate a Data Architect to our team.

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