Data Architect - Hybrid - Lisbon

Horário: Full-Time

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.

Location

Lisbon, Portugal - Hybrid

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.

Regime de trabalho híbrido.