Cloud Architect

Description

Job Summary: Senior professional to develop and implement data platforms and architectures in cloud environments, with a focus on performance and security. Key Highlights: 1. Lead the adoption of cloud-based data platforms (Azure, AWS, GCP) 2. Expert in distributed data architectures and Big Data 3. Participate in pre-sales phases and solution architecture 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 experts in distributed storage and computing paradigms, across their various 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 most 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 fundamental role across various phases of adopting data platforms in cloud contexts (Azure, AWS, GCP), and participate in analysis, architecture design, sizing, setup, and development of those platforms. For such systems, special emphasis on performance and security is essential, along with implementing best practices for service development to serve as the foundation for monitoring tools. **Daily Key Responsibilities:** Support technical teams (Coaching and Tech Lead) on architecture topics and solution definition Participate in pre-sales and sales phases, developing architectures and solutions aligned with 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). Data Architecture Knowledge 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 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, such as OpenShift, Rancher, AKS, or EKS.