Software Architect And Data Manager - Gmv

Gmv; Valladolid; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible start and finish times

Potential relocation package

Competitive compensation with ongoing

Competitive compensation with ongoing

Descripción de la vacante

Gmv seeks an experienced data leader to define and drive the strategic data roadmap, guiding a cross-functional analytics team through design, governance and scalable architectures. You will act as Scrum Master while balancing long-term vision with sprint delivery, and shape microservice-based systems using containerized tech.

You will promote governance, security, and documentation, oversee end-to-end development, and work with cloud platforms and big data stacks to enable data-driven public

Formación

• Experience leading data and analytics teams in a fast-paced environment.
• Strong background in data architecture, governance and security.
• Proven Scrum Master with ability to balance delivery and strategy.

Responsabilidades

• Define and execute the strategic data roadmap aligned with business objectives.
• Lead a team of data and analytics engineers and support their professional development.
• Act as Scrum Master, balancing sprint delivery with strategic vision.
• Design and implement modern microservices-based architectures using Docker and Kubernetes.
• Promote best practices in data governance, security, modelling and documentation.
• Oversee the development lifecycle from design to implementation with focus on quality and efficiency.
• Architectural design and construction of complex systems.
• Experience with data integration and scalable data architectures.
• Familiarity with Apache Airflow, Prefect or Luigi.
• Data analysis and visualization tools (Tableau, Power BI).
• Cloud-oriented architectures (AWS, Azure, GCP).
• Big Data frameworks and storage (Spark, Hadoop, HDFS; S3; SQL/NoSQL databases).
• Containers and deployment (Docker, Kubernetes).
• DevOps and CI/CD practices; agile methodologies.
• Cloud certifications (AWS Solutions Architect, Google Cloud Professional Data Engineer) are an asset.
• Leadership and cross-functional collaboration for complex projects.
• Architectural design of complex systems and data integration.

Conocimientos

Data architecture

Leadership

Scrum Master

Team management

Microservices

Docker

Kubernetes

Data governance

Security

Documentation

DevOps

CI/CD

Agile methodologies

Cloud platforms

Big Data frameworks

Spark

Hadoop

Airflow

Tableau

Power BI

OO programming

Herramientas

Docker

Kubernetes

Apache Airflow

Prefect

Luigi

Tableau

Power BI

AWS

Azure

GCP

Spark

Hadoop

HDFS

S3

Descripción del empleo

You will define and execute the strategic data roadmap, aligning architecture with business goals. You will lead a data and analytics team and act as Scrum Master to balance short-term delivery with long-term vision. You will design modern microservice-based architectures in containers, promoting governance, security, and documentation. This role focuses on enabling a scalable, data-driven platform to optimise public transport decisions, offering both technical influence and leadership within a cross-functional team.

• Flexible start and finish times
• Potential relocation package
• Competitive compensation with ongoing reviews
• Define and execute the strategic data roadmap aligned with business objectives
• Lead a team of data and analytics engineers and support their professional development
• Act as Scrum Master, balancing sprint delivery with strategic vision
• Design and implement modern microservices-based architectures using Docker and Kubernetes
• Promote best practices in data governance, security, modelling and documentation
• Oversee the development lifecycle from design to implementation with focus on quality and efficiency
• Architectural design and construction of complex systems
• Experience with data integration and scalable data architectures
• Familiarity with Apache Airflow, Prefect or Luigi
• Object-oriented programming
• Data analysis and visualization tools (Tableau, Power BI)
• Cloud-oriented architectures (AWS, Azure, GCP)
• Big Data frameworks and storage (Spark, Hadoop, HDFS; S3; SQL/NoSQL databases)
• Containers and deployment (Docker, Kubernetes)
• DevOps and CI/CD practices; agile methodologies
• Cloud certifications (AWS Solutions Architect, Google Cloud Professional Data Engineer) are an asset
• leadership
• team collaboration
• Architectural design of complex systems
• Data integration and governance
• Microservices and container-based architectures