Data Architect

As a Data Architect, you will be part of our team within the Data & Analytics area, collaborating in the design, development, and optimization of data architectures and pipelines that enable advanced analytics and business insights. You will work in agile, cross-functional teams to deliver high-quality, scalable data solutions. Responsibilities

• Design and develop data architectures, pipelines, and datasets for analytics and reporting.
• Work with large, structured and unstructured datasets to ensure data quality, consistency, and accessibility.
• Collaborate closely with data engineers, data scientists, and business teams in an agile environment.
• Support BI reporting and dashboard development through well-structured data models.
• Ensure compliance with data governance and GDPR guidelines.
• Contribute to knowledge sharing, documentation, and continuous improvement initiatives., * Continuous training and access to official certifications.
• Work modality: Remote.
• Participation in the company's share purchase plan from day one.
• Opportunity to work on innovative projects with major clients.
• Flexible compensation plan: childcare voucher, meal voucher, transportation card, etc.
• Life and accident insurance.
• Collaborative environment and growth-oriented culture.
• Flexible career path tailored to your goals.
• Internal knowledge communities.

• 2+ years of experience as a Data Architect in agile, cross-functional teams.
• Expertise in data management architecture and development.
• Strong knowledge of SQL, Python, and data science libraries such as Pandas and PySpark.
• Experience with Data Warehouse design, BI reporting, and dashboard development.
• Basic understanding of machine learning methods.
• Fundamentals of GDPR.
• Collaborative mindset, curiosity, and problem-solving orientation.
• Ability to work effectively in agile environments.
• Fluent English.

Nice to Have

• Degree or vocational training in Computer Science, Data Engineering, or related fields.
• Certifications or experience in cloud data platforms (e.g., Azure, AWS, GCP).
• Previous experience with analytics or data governance projects.
• Interest in continuous learning and new technologies.Familiarity with big data or distributed computing environments.