
Cloud Data Operations Lead (f/m/div.)
- Lisboa
- Permanente
- Horário completo
- Ensure the stability, scalability, and performance of the data analytics solution for production data.
- Monitor and maintain batch and streaming data pipelines in a cloud-based environment.
- Lead operational processes including incident handling, performance monitoring, and issue resolution.
- Collaborate closely with data engineering, data science, and IT teams to ensure high service quality.
- Promote and implement best practices for operational excellence, including thorough documentation and knowledge sharing.
- Mentor and support the operations team to foster technical growth and cross-team collaboration.
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- Proven experience in operating and maintaining large-scale data solutions in production environments.
- Previous experience in leading operations or support teams, ideally in a global or cross-functional context is a plus.
- Experience working in a manufacturing or industrial data environment is a plus.
- Solid understanding of common issues in cloud-based data pipelines and analytics solutions
- Working knowledge of Databricks and Lakehouse architecture in a cloud environment.
- Strong experience with SQL for data querying and analysis.
- Proficiency with Git for version control and team collaboration.
- Experience with command-line scripting (e.g., PowerShell).
- Familiarity with KubeCTL and Kubernetes-based systems.
- Experience with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory).
- Understanding of monitoring and logging tools is a plus.
- Excellent problem-solving and critical thinking skills, with a proactive approach to incident management and root cause analysis.
- Strong communication and coordination abilities, capable of working effectively across cross-functional and international teams.
- High level of ownership, with a strong drive for operational excellence, efficiency, and continuous improvement.
- Ability to support and mentor peers, fostering collaboration and knowledge sharing within the team.
- Fluent in English (written and spoken); additional languages are a plus.