Data Architect - Remote from Portugal

This role is responsible for defining and evolving the Aftermarket-wide data architecture and target design principles, ensuring a
unified, scalable, and business-oriented analytics landscape. The Data Architect steers and aligns multiple domain data teams,
working closely with Business Data Analysts to shape data products, KPIs, and interfaces while enforcing consistent standards for
data modelling, integration, and quality across the Aftermarket Analytics Platform (AAP). Acting as the key interface to data
architecture and governance, the role ensures compliance, reuse, and synergy across regions and functions, while providing
architectural guidance to ongoing initiatives. In addition, the role evaluates and introduces modern tools, frameworks, and best
practices to drive innovation, efficiency, and cost-effective cloud-based data solutions.
Core responsibilities:
• Define and maintain the Aftermarket-wide data architecture and target design principles.
• Steer and align multiple domain data teams to ensure architectural coherence and reuse.
• Collaborate with Business Data Analysts to define data product structures, KPIs, and interfaces.
• Define and enforce data modeling, integration, and quality standards for the Aftermarket Analytics Platform (AAP).
• Act as primary interface to data architecture and governance to ensure compliance and synergy.
• Evaluate and introduce new tools, frameworks, and best practices supporting data efficiency and innovation.
• Provide architectural guidance in ongoing projects to ensure scalable and cost-efficient design.
• Promote unified, business-oriented data architecture across all Aftermarket regions and functions.
Requirements:
• Proven experience as a Data Architect.
• Profound expertise in Cloud Data Platform components (Databricks, Synapse, Data Lake, Purview).
• Advanced knowledge in data modeling (Data Vault, Dimensional, Canonical Models).
• Experience with pipeline orchestration and integration (ADF, PySpark, Synapse Pipelines, Qlik...).
• Understanding of data governance and metadata management.
• Familiarity with DevOps, CI/CD, Infrastructure-as-Code, and cost/performance optimization.
• Awareness of data security, compliance, and regulatory requirements in a corporate environment.
• Fluency in English (mandatory)