Platform Engineering Senior Lisboa, Braga, Viana do Castelo Complex problems require the right expertise! One of today's biggest challenges is the proper storage and processing of data considering these three domains (3Vs): Volume, Velocity, and Variety. At Xpand IT, the Platform Engineering team develops and implements data platforms and architectures capable of addressing the growing challenges faced by data-driven enterprises. We are therefore experts in distributed storage and computing paradigms, across their different flavors, especially within cloud environments—a continuously expanding market. Among these paradigms, we highlight Spark (e.g., Cloudera, Databricks, HDInsights, DataProc) and Kafka (e.g., Confluent, EventHubs, PubSub), as well as the majority of reference data architectures (e.g., Azure Functions, Azure DataFactory, AWS Lambda, GCP Cloud Compose). Key Responsibilities As a Cloud Architect, you will play a crucial role throughout various phases of data platform adoption in cloud contexts (Azure, AWS, GCP), participating in analysis, architecture, sizing, setup, and development of these platforms. For these systems, special emphasis on performance and security is essential, as well as implementing best practices in service development to support monitoring tools. **Main daily responsibilities:** Support technical teams (Coaching and Tech Lead) on architecture and solution design topics Participate in pre-sales and sales phases, contributing to the creation of architectures and solutions that meet our clients' requirements Participate in analysis, definition, and architecture phases, or later stages of a project **Stacks:** Microsoft Azure, Google Cloud Platform Requirements Academic Qualifications Bachelor’s and/or Master’s degree in Computer Science, Information Systems, or related field. Cloud Experience Practical experience in architecture with at least one major cloud provider (Azure, AWS, GCP). Knowledge of Data Architectures Experience in distributed and large-scale data architectures. Big Data Skills Familiarity with Big Data technologies such as Spark, Kafka, and MongoDB. Automation and Infrastructure as Code (IaC) Knowledge of tools such as Ansible, Terraform, or CloudFormation. Languages Proficiency in spoken and written English. **Bonus Points:** Experience in data architectures (large scale); Knowledge of automation tools and IaC such as Ansible, Terraform, or CloudFormation; Knowledge of Kubernetes and its various flavors such as Openshift, Rancher, AKS, or EKS.