Data Architect: Enterprise Data & AI, Hybrid

Inbrain Neuroelectronics; Bellprat; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private Health Insurance

23 vacation days per year

Christmas week off

Hybrid working modality

Udemy training / professional courses

Descripción de la vacante

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

You will collaborate with developers, AI/ML engineers, and business stakeholders to align data infrastructure with strategic goals and evaluate cloud solutions across AWS, Azure, or GCP. Hybrid work is offered.

Formación

• Formal degree in computer science or related field.
• 5+ years of experience in database design, administration, or data architecture.
• Strong expertise in SQL, NoSQL, and relational databases.
• Knowledge of data governance, quality, and compliance frameworks.
• Fluency in English; strong communication skills.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Familiarity with Docker/Kubernetes is a plus.
• Ability to design end-to-end data solutions across the enterprise.

Responsabilidades

• Database Architecture: design and optimize relational and non-relational schemas.
• Data Architecture: develop enterprise data model and data flow architecture.
• Collaboration & Strategy: align data infra with business needs and evaluate new technologies.

Conocimientos

Database design

Data architecture

SQL

NoSQL

Cloud platforms

Data governance

Python

Team collaboration

Security/compliance

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

Docker

Kubernetes

AWS/Azure/GCP

Descripción del empleo

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

You will collaborate with developers, AI/ML engineers, and business stakeholders to align data infrastructure with strategic goals and evaluate cloud solutions across AWS, Azure, or GCP. Hybrid work is offered.