TL;DR
Senior Cloud Data Platform Engineer (Azure/Databricks): Administering and maintaining cloud data platforms, infrastructure as code, and ETL pipelines with an accent on Databricks, Azure services (ADLS, ADF), and CI/CD. Focus on optimizing performance, security, implementing data governance, and supporting data product delivery in an enterprise environment.
Location: Remote within Latin America
Company
hirify.global is a company focusing on cloud data platform solutions.
What you will do
- Administer and maintain Databricks Azure accounts, workspaces, Unity Catalog, and metastore configurations using Terraform.
- Provision, monitor, and optimize Azure Data Lake Storage environments for performance and security.
- Develop, orchestrate, and troubleshoot Azure Data Factory pipelines for ETL and data movement.
- Implement and enforce role-based access controls and data governance policies across platforms.
- Monitor platform health, usage, and costs; build dashboards for observability and incident response.
- Research and evaluate emerging cloud data technologies and execute proof-of-concept projects.
Requirements
- Bachelor’s degree in a technical field or equivalent relevant experience.
- Experience administering Databricks, Azure, and ADF in an enterprise environment.
- Proficiency with Terraform, Azure GitHub/DevOps, and CI/CD pipeline management.
- Strong understanding of cloud security, data governance, and role-based access control.
- Experience with monitoring tools, incident response, and operational dashboards.
- Ability to collaborate and communicate effectively with cross-functional teams.
Nice to have
- Experience supporting machine learning and advanced analytics workloads.
- Familiarity with reporting solutions such as Power BI.
- Knowledge of multi-cloud environments and hybrid data architectures.
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