Software Architect and Data Manager - GMV
hace 1 día
Valladolid
Overview 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. Compensaciones / Beneficios • Hybrid working model, • 8 weeks teleworking outside usual area, • Flexible start and finish times, • Potential relocation package, • Competitive compensation with ongoing reviews, • Wellbeing program (health, dental, mental health) 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 Requisitos principales, • 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), • Python ecosystem (Pandas, NumPy, ML frameworks), • 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, • adaptability, • Architectural design of complex systems, • Data integration and governance, • Microservices and container-based architectures