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Data Platform Architect

2 weeks ago

Remote Warsaw, Czech Republic GetInData | Part of Xebia Full time
  • Extensive experience working with Azure cloud provider
  • Great knowledge of DevOps practices and tools, including Docker, Terraform, CI/CD
  • Experience working with Databricks platform
  • Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
  • Great fundamental knowledge of Software Engineering, Data Engineering, building whole data platforms and solutions
  • Understanding complexity and relationships between businesses, suppliers, partners, competitors, and clients
  • Experience or interest in working with and using large-scale data to solve valuable business problems
  • Experience in preparing presentations, design documents, and architecture diagrams

A core part of our value proposition in projects we do is to bring the best expert knowledge in the applications of Big Data & AI. We mentor clients on what problems they can solve with modern technologies, how to architect and implement reliable solutions with the best engineering standards, and how to deliver them effectively. Being a solution architect is to be the ambassador of the company by setting technological direction, roadmap, architecture, and feasibility in multiple projects, especially at their earliest stages. The goal is to make sure our clients get the best possible solution to their real-world challenges and a path to get there.

,[Building a Data Platform in the Azure cloud providing multiple Data teams with the ability to start and maintain projects in an automated fashion, Mentoring and delegating tasks to 2-3 engineers who will help in building the Data Platform, Evaluating and optimizing costs for Databricks workloads, Selecting and configuring clusters tailored to specific workload requirements, Integrating Databricks into the existing Azure network setup, Automating the deployment and management of Databricks environments using Azure DevOps Pipelines, Using Terraform as the primary Infrastructure as Code (IaC) tool for managing resources, Implementing secure data-sharing solutions within Databricks] Requirements: Azure, Docker, Terraform, CI/CD, Databricks Tools: GIT, Jira, Jenkins / GitLab, GitLab, Agile. Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Team Events, Training budget, Free coffee, Gym, Bike parking, Playroom, Free snacks, Free beverages, In-house trainings, Startup atmosphere, No dress code, Kitchen.