Data Architect — Enterprise Data & Cloud (Hybrid)

Tamarind Intelligence; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private Health Insurance

Training bonus

23 vacation days

Descripción de la vacante

INBRAIN Neuroelectronics in Barcelona is seeking a seasoned Data Architect to design, implement, and maintain the enterprise data ecosystem. You will bridge database engineering and data strategy, ensuring data is structured, secure, and optimized for analytics and operations.

You will collaborate with AI/ML engineers, developers, and business stakeholders, defining data models, storage solutions, governance, and scalable architectures across cloud and on‑prem environments.

Formación

• Bachelor's or Master's in Computer Science, Information Systems, or related field.
• 5 years in database design, administration, or data architecture.
• Fluency in English; cloud platforms knowledge; governance awareness.

Responsabilidades

• Database Architecture: design and optimize relational and non-relational schemas.
• Implement data storage solutions for performance, scalability, and reliability.
• Collaborate with developers to optimize storage, performance and data structures.
• Oversee database security, backup, recovery, and maintenance strategies.
• Data Architecture: develop and maintain enterprise data model and data flow architecture.
• Ensure data quality, governance, and compliance across systems.
• Collaborate with AI/ML engineers, data engineers, analysts, and stakeholders.
• Evaluate future database technologies, cloud solutions, and analytics platforms.

Conocimientos

SQL & NoSQL

Data modeling

Cloud platforms

Communication skills

Analytical thinking

Team collaboration

Educación

Bachelor's/Master's in CS

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

INBRAIN Neuroelectronics in Barcelona is seeking a seasoned Data Architect to design, implement, and maintain the enterprise data ecosystem. You will bridge database engineering and data strategy, ensuring data is structured, secure, and optimized for analytics and operations.

You will collaborate with AI/ML engineers, developers, and business stakeholders, defining data models, storage solutions, governance, and scalable architectures across cloud and on‑prem environments.