Data Architect | Hybrid | Lisbon
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Are you experienced in designing enterprise data platforms and defining end-to-end data architectures?
We’re looking for a Data Architect to design scalable, secure and cost-efficient data solutions, working across cloud platforms, data integration, governance and enterprise architecture.
What you’ll do
- Analyse business requirements and translate them into data architecture solutions.
- Design end-to-end architectures for data ingestion, integration, storage and consumption.
- Define data models and integration strategies, including ETL/ELT, APIs, CDC, streaming and event-driven architectures.
- Design cloud-based Data Lakes, Lakehouses and Data Warehouses.
- Establish standards for Data Governance, Data Quality, Security, Metadata Management and GDPR compliance.
- Evaluate technologies, document architectural decisions and define reference architectures.
- Ensure scalability, resilience, performance and cost optimisation.
- Provide technical leadership to data architecture and engineering teams.
- Present architectural recommendations to technical and business stakeholders.
What we’re looking for
- Degree in Computer Science, Software Engineering or a related field.
- Fluency in English.
- Strong experience in Data Architecture, Solution Architecture and enterprise data platforms.
- Advanced knowledge of Data Warehousing, Data Lakes, Lakehouses, Big Data, relational and NoSQL databases.
- Experience with cloud platforms (Azure, AWS or GCP).
- Strong understanding of data integration, ETL/ELT, APIs, CDC, streaming and event-driven architectures.
- Knowledge of Data Governance, Data Quality, Security, Data Lineage, Metadata Management, MDM and GDPR.
- Experience defining scalable, resilient and cost-efficient architectures and enterprise architecture standards.
- Strong technical leadership, communication and stakeholder management skills.
Nice to have
- Experience in the Energy & Utilities sector.
- Knowledge of Microsoft Fabric, Azure Databricks, Azure Synapse, BigQuery or Redshift.
- Exposure to Analytics, Machine Learning and AI.
- Familiarity with Agile methodologies, JIRA and Confluence.
If you’re passionate about data architecture and building enterprise-scale data platforms, we’d love to hear from you
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