Cloud Architect

Description

Job Summary: The Senior Platform Engineer will develop and implement data platforms and architectures, with a focus on cloud and Big Data, and serve as a Cloud Architect. Key Highlights: 1. Lead the adoption of data platforms in cloud environments (Azure, AWS, GCP). 2. Participate in all project phases, from pre-sales to architecture. 3. Expert in Spark, Kafka, and distributed data architectures. 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, HDInsight, DataProc) and Kafka (e.g., Confluent, Event Hubs, Pub/Sub), as well as widely adopted 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 multiple phases of data platform adoption in cloud contexts (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, as well as 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-related topics and solution definition 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 later 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 experience in cloud architecture with at least one of the major cloud providers (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, including OpenShift, Rancher, AKS, or EKS.