Data Cloud Platform Architect

Há 2 dias


Porto, Portugal Neotalent Conclusion Tempo inteiro

Who are we: Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems. We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers. With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates. Neotalent, the responsive people . Find out more about us at Role Overview: We are looking for a Data Cloud Platform Architect to join our team and support one of our clients in the design, development, and optimization of a large-scale cloud data platform. You will play a key role in architecting secure, scalable, and high-performance data solutions, guiding the evolution of cloud-based data ecosystems, and driving standards for engineering excellence. What you will do: You will be responsible for architect and design cloud-based data platforms using AWS services and Terraform, lead large-scale data migration, optimization, and modernization initiatives, prototype and define coding standards in Python and SQL, ensuring high-quality engineering practices. Manage Iceberg tables and build scalable data pipelines with Airflow or Step Functions, enforcing governance, security, and CI/CD best practices. What you are like: Degree in Computer Engineering or similar; Proficient in architecting cloud data solutions on AWS, with complementary knowledge of Azure; Skilled in Python and SQL, with the ability to define coding standards and develop prototypes; Experienced in Infrastructure as Code (Terraform) and cloud platform deployment; Proficient in orchestrating data pipelines using tools like Airflow or Step Functions; Experienced in data governance, security enforcement, and architectural best practices; Comfortable defining CI/CD strategies tailored for data engineering; Knowledgeable in ETL/ELT processes and capable of working with high-volume data environments; Fluent in English. Why join us: Work on challenging projects for big clients; Learn more about emerging technologies; Possibility of working remotely; Design your career plan; Access to continuous training and certifications; Evolve through our internal mobility program; … and much more



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