Job Summary: Senior Platform Engineering professional to develop and implement distributed, scalable data platforms, with a focus on cloud and Big Data. Key Highlights: 1. Act as a Cloud Architect on cloud data platforms (Azure, AWS, GCP) 2. Support technical teams in architecture and solution definition 3. Participate in pre-sales, analysis, definition, and architecture phases of projects Platform Engineering Senior Lisbon, Braga, Viana do Castelo Complex problems require the right experience! One of today’s greatest 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 specialists in distributed storage and computing paradigms, across their various flavors—especially within the cloud, a continuously expanding market. Among these paradigms, we highlight Spark (e.g., Cloudera, Databricks, HDInsights, DataProc) and Kafka (e.g., Confluent, Event Hubs, Pub/Sub), as well as mainstream reference data architectures (e.g., Azure Functions, Azure Data Factory, AWS Lambda, GCP Cloud Composer). Key Responsibilities As a Cloud Architect, you will play a pivotal role across various stages of adopting data platforms in cloud environments (Azure, AWS, GCP), participating in analysis, architecture design, sizing, setup, and development of such platforms. For these systems, special emphasis must be placed on performance and security, along with implementing best practices for service development to serve as a foundation for monitoring tools. **Daily Key Responsibilities:** Support technical teams (Coaching and Tech Lead) on architecture and solution definition topics Participate in pre-sales and sales phases, and in designing architectures and solutions that meet our clients’ requirements Participate in analysis, definition, and architecture phases—or subsequent phases—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 architecture experience with at least one major cloud provider (Azure, AWS, GCP). Data Architecture Knowledge Experience in distributed, 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 English, both spoken and written. **Bonus Points:** Experience in large-scale data architectures; Knowledge of automation tools and IaC such as Ansible, Terraform, or CloudFormation; Knowledge of Kubernetes and its various distributions, including OpenShift, Rancher, AKS, or EKS.