Senior Data Architect

Nextlane; Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading software development firm located in Barcelona is seeking an experienced IT / IS Architect (Data Architect) to lead data architecture initiatives. This role involves designing robust data solutions and collaborating with various teams. The ideal candidate has at least 8 years of experience in relevant fields and possesses strong communication skills. Join us to help shape the future of the automotive industry.

Formación

• Minimum of 8 years’ experience in IT / IS and data architecture roles.
• Experience designing scalable and robust architectures.
• Proficiency in Python, Java, R, or similar for data analysis.

Responsabilidades

• Design and implement scalable data architecture aligned with business needs.
• Lead data integration initiatives, ensuring data quality and consistency.
• Collaborate with teams to ensure technical and functional alignment.

Conocimientos

Fluent English

Strong communication skills

Collaboration in diverse environments

Herramientas

AWS

Azure

Google Cloud

Big Data tools

ETL tools

Descripción del empleo

About Us

Nextlane, we don’t just develop software solutions – we create the future of the automotive industry.

We are a company that combines advanced technology with a clear vision: simplifying and digitizing every step of the automotive customer journey, empowering manufacturers and dealerships to thrive in a constantly evolving market.

We believe in the value of every team member, offering opportunities for you to develop and contribute to meaningful solutions.

Context of the Position

We are seeking an experienced and strategic IT / IS Architect (Data Architect) to lead the company’s data architecture initiatives. This is a high-impact role that involves developing robust, scalable solutions and integrating our platforms into an ever-evolving technological ecosystem.

The ideal candidate will collaborate closely with the executive team, managing critical projects and contributing to strategic decision-making regarding data infrastructure and technological advancements.

Responsibilities

• Design and implement a scalable data architecture aligned with business needs and strategic objectives.
• Lead data integration initiatives, ensuring quality, consistency, and availability of information.
• Collaborate with development, product, and operations teams to ensure technical and functional alignment.
• Serve as a bridge between technical teams and senior management, translating business requirements into effective technical solutions.
• Oversee compliance with security standards, data privacy, and applicable regulations.
• Develop strategies for large-scale data storage, processing, and analysis (Big Data).
• Evaluate and implement emerging technologies to enhance business value.

What We're Looking For

Experience

• Minimum of 8 years’ experience in similar IT / IS and data architecture roles. Designing scalable and robust architectures.
• Proven experience in designing and implementing Big Data solutions and cloud-based architectures (AWS, Azure, or Google Cloud).
• Languages: Fluent English (Interviews will be conducted in English) / French (nice to have).
• Communication: Strong communication skills and ability to effectively interact with senior leadership.
• Interpersonal Skills: Ability to collaborate in a diverse and dynamic environment.

Technical Skills

• Advanced knowledge of relational (SQL) and non-relational (NoSQL) database systems.
• Experience with Big Data tools and platforms (Hadoop, Spark, Kafka, etc.).
• Designing and optimizing data pipelines.
• Expertise in ETL tools (Informatica, Talend, Apache Nifi, etc.).
• Experience integrating data across enterprise systems.
• Logical and physical data modeling.
• Defining standards and policies for data governance.
• Implementing security measures for data management.
• Knowledge of regulations like GDPR or other relevant standards.
• Proficiency in Python, Java, R, or similar for data analysis and processing.