
Databricks Platform Administrator
Posted May 25

Posted May 25
This is a fully remote position, open to applicants in Argentina.
• Take ownership of, optimize, and secure the Databricks environment, ensuring it is scalable, reliable, and well-monitored for data and ML workloads.
• Enhance and streamline data and ML workflows within Databricks, promoting self-service capabilities and supporting Unity Catalog for governance and discovery.
• Establish and uphold Databricks security, access controls, and compliance practices, ensuring governance follows least-privilege principles and aligns with enterprise standards.
• Collaborate with data and ML teams to enhance the Databricks platform, advocate for best practices and automation, and coordinate with DevOps regarding cloud infrastructure and integrations.
• A minimum of 5 years of experience in administering or engineering on Databricks, or in a closely related role within a data platform.
• Strong understanding of Databricks workspace administration, including cluster policies, permissions, Unity Catalog, Jobs/Workflows, and networking.
• Familiarity with AWS services that support Databricks deployments, such as S3, IAM, VPC, and EC2.
• Experience with data pipeline and orchestration tools including dbt, Airflow, Fivetran, or Delta Live Tables.
• Proficient in Python and SQL, with expected familiarity in Spark.
• Knowledge of contemporary data governance and access control methodologies, including Unity Catalog, RBAC, and data classification.
• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
• Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
PSS Tecnologias de la Informacion
Globalweb Corp
Elfonze Technologies
Cielo Talent
Get handpicked remote jobs straight to your inbox weekly.