We are looking to incorporate a Data Architect to our team.
We are an IT Consultant Group that provides services and creates digital solutions to improve the lives of citizens across Europe. Our project and team
This 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.
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; ERwin, SAP PowerDesigner).
Collibra, Alation, Azure Purview; Knowledge of data governance and quality frameworks (e.g., ISO 8000, ISO/IEC 11179), including stewardship, data domains, and controls.
GDPR, ISO/IEC 27001), including encryption, key management, RBAC/ABAC, and data residency.
ETL/ELT, CDC, event streaming (e.g., Kafka, Debezium) and orchestration (e.g., Airflow, Azure Data Factory, Dagster).
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; High level of English.
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., 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 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 participate in multilingual meetings.
In particular, it complies with current regulations on gender equality between women and men (Royal Decree-Law 6/2019)
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📌 Data Engineer con AWS - REMOTO (Madrid)
🏢 ALTIA
📍 Madrid