Complex problems require the right expertise! Today, one of the biggest challenges lies in data storage and processing, across these three main domains (3Vs): Volume, Velocity and Variety.
At Xpand IT, the Platform Engineering team develops and implements architectures and software solutions that represent the state of the art on capturing, ingesting, storing and managing critical data from huge clusters where the 3Vs are always present. As concerns technology stack, we take advantage of almost every state-of-the-art framework in Big Data ecosystem such as Spark, Kafka, Hive/Impala, Azure Data Services or MongoDB using Java and Scala as programming languages to interact with them.
Your role
As a Cloud Architect, you will play a fundamental role in the various phases of adopting data platforms in Cloud environments (Azure, AWS, GCP) and will participate in the analysis, architecture, sizing, setup, and development of these platforms. For these systems, a special focus on performance and security is essential, as well as implementing best practices for service development to serve as a foundation for monitoring tools.
Main daily responsibilities:
- Guide technical teams (Coaching and Tech Lead) on architecture topics and solution design
- Participate in pre-sales and sales phases, contributing to the design of architectures and solutions that meet our clients’ requirements
- Be involved in the analysis, definition, and architecture phases, as well as later stages of a project
Stacks:
Microsoft Azure, Google Cloud Platform
Job requirements
Academic background
Bachelor's or Master's degree in Computer Science, Information Systems, or related fields.
Cloud experience
Hands-on experience in 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 competencies
Familiarity with Big Data technologies such as Spark, Kafka, and MongoDB.
Automation and Infrastructure as Code (IaC)
Knowledge of tools like Ansible, Terraform, or CloudFormation.
Languages
Fluency in English, spoken and written.
Nice to have:
- Experience in large-scale data architectures;
- Familiarity with Kubernetes and its various distributions, such as OpenShift, Rancher, AKS, or EKS.