Data Architect

This is a fully remote position, open to applicants in Spain.

📋 Description

• You will design scalable and resilient data architectures that align with strategic business objectives.

• You will define models and architecture standards for data management, integration, and exploitation in complex corporate environments.

• You will lead the definition of modern data platforms, ensuring their governance, scalability, security, and operational efficiency.

• You will participate in digital transformation initiatives, helping to evolve data ecosystems towards more flexible, distributed models oriented around data as a product.

• You will collaborate with multidisciplinary teams and business stakeholders to transform functional needs into sustainable, high-impact architectural solutions.

• You will promote best practices in governance, quality, observability, and the data lifecycle, fostering a DataOps culture and continuous improvement.

• You will assess trends, capabilities, and new architectural approaches within the data and advanced analytics ecosystem.

• You will contribute to the definition of accelerators, frameworks, and internal standards that facilitate the industrialization and optimization of data solutions.

⛳️ Requirements

• A degree in Computer Engineering, Telecommunications, Mathematics, Physics, or related fields.

• Strong experience in the design and evolution of data architectures in complex business environments.

• Knowledge of modern data management and exploitation models, as well as analytical architectures.

• Ability to define end-to-end solutions considering integration, storage, processing, governance, security, and data consumption.

• Experience working with technical and business teams, acting as a technical reference and facilitator in decision-making.

• Knowledge of best practices in data quality, automation, observability, and data platform governance.

• An innovative mindset, a focus on continuous improvement, and the ability to evaluate new trends and approaches within the Data ecosystem.

• Sufficient English proficiency to collaborate in international environments.

🏝️ Benefits

• A stable position with significant professional growth potential.

• Flexible working model: remote or hybrid.

• Intensive working hours during summer and on Fridays.

• Training and certification plan.

• Access to conferences, events, and technological communities.

• Competitive salary based on experience and professional development.