Data Architect

Data Architect

Location: Porto (hybrid)

Employment: Full-time / Contract

About Loop Future:

Loop Future combines technology, innovation, and sustainability to create digital solutions that shape the future. By integrating software engineering, cloud solutions, salesforce expertise, and intelligent sourcing, Loop Future connects people, systems, and industries — driving efficiency, growth, and global impact. We are Headquartered in Portugal, with offices in Lisbon, Porto, Coimbra, Leiria and Braga; we are also supported by our international offices in the UK, Switzerland and India. The company brings together a diverse and talented team committed to delivering cutting-edge digital experiences into domains such as TV &Media, Satellite & Space, Consultancy, Retail and many other domains.

About the Role:

This role is responsible for defining and maintaining the data architecture across the Aftermarket domain, ensuring architectural coherence, scalability, governance and reuse across multiple data teams. The Data Architect works closely with Business Data Analysts, data teams, central IT and Group Data to translate business and domain needs into clear architectural blueprints, standards and target designs.

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 modelling, integration and quality standards for the Aftermarket Analytics Platform (AAP).
• Act as the 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 a unified, business-oriented data architecture across all Aftermarket regions and functions.

Requirements:

• 7+ years of proven experience as a Data Architect.
• Strong understanding of modern data architectures and the ability to translate business strategy and domain needs into architectural blueprints.
• Deep knowledge of data modelling, lineage and governance principles, including Data Vault, Dimensional and Canonical Models.
• Profound expertise in Cloud Data Platform components, including Databricks, Synapse, Data Lake and Purview.
• Experience with pipeline orchestration and integration tools such as Azure Data Factory, PySpark, Synapse Pipelines or Qlik.
• Experience defining platform standards, data ownership models and data lifecycle processes.
• Familiarity with DevOps, CI/CD, Infrastructure-as-Code and cost/performance optimisation.
• Awareness of data security, compliance and regulatory requirements in corporate environments.
• Strong leadership, stakeholder management and communication skills across business, IT and data teams.
• Fluency in English (mandatory).