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Data Infrastructure Architect (Ssr)

We are looking to hire a Senior Data Infrastructure Architect to join our team and participate in the design, implementation, and evolution of data platforms, ensuring scalable, secure, and high-performance solutions in enterprise and highly regulated environments.

Disqualifying requirements:

  • Experience in the design, implementation, management, and maintenance of data infrastructure solutions (databases and analytics platforms).
  • Experience with data warehousing, big data, and large-scale data processing solutions (Hadoop or similar).
  • Experience with ETL tools such as NiFi, Cloudera, Informatica PowerCenter, or equivalents.
  • Experience with on-premises data infrastructure and public/private cloud infrastructure.
  • Experience in migrating, implementing, and supporting data storage platforms, including data and log integration.
  • Previous experience as a system administrator or in similar roles in data-driven enterprise environments.
  • Solid knowledge of Linux (server administration).
  • Experience in managing and coordinating with external suppliers.
  • Ability to design scalable, secure, reliable, and high-performance solutions.
  • Experience working with interdisciplinary teams (architecture, development, security, data, and operations).
  • Experience with agile methodologies (Scrum/Kanban) and the use of tools such as Jira.
  • Ability to manage technology projects in banking or highly regulated environments.

Preferred qualifications:

  • Current student or graduate with a bachelor's degree or engineering degree in Systems, Information Technology, Application Development, Automation, or related fields, and/or courses and certifications related to the role.
  • Knowledge of statistics and machine learning (Machine Learning / AI).
  • Experience with BI solutions such as Teradata and MicroStrategy, including version migrations.
  • Experience in near real-time data processing.
  • Experience with Kafka and messaging/event platforms.
  • Experience with Docker and containerized environments.
  • Knowledge and experience with Azure, AWS, Azure ML, and cloud-based data lakes.
  • Experience with open-source products and SaaS solutions.
  • DevOps expertise applied to data platforms.
  • Experience in administering Windows environments.
  • Experience with Bash scripting.
  • Knowledge of English or other languages.
  • Technical certifications.

Skills:

  • Good communication
  • Decision-Making Profile
  • Organization
  • Proactivity
  • Teamwork and Collaboration


Job Application If you'd like to join the G&L Group team, please fill out the form below and attach your resume.

Type: Hybrid
Type: Full-Time
Location: Buenos Aires Caba
This job is no longer accepting applications.