Senior Cloud Data Platform Engineer
Latin AmericaFull-TimeSeniorSoftware Engineering
You’ll be DISRUPTIVE through these duties and responsibilities:
- Administer and maintain Databricks Azure account, workspaces, Unity Catalog, and metastore configurations using infrastructure as code such as Terraform.
- Provision, monitor, and optimize Azure Data Lake Storage (ADLS) environments for performance and security such as secrets, credentials, and service principals using Azure Key Vault and related tools.
- Develop, orchestrate, and troubleshoot Azure Data Factory (ADF) 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.
- Proactively research and evaluate emerging cloud data technologies, tools, and best practices; design and execute proof-of-concept (POC) projects to assess their potential value and applicability for Milwaukee Tool’s data platform.
- Collaborate with data engineering and analytics teams to support data product delivery and resolve platform issues.
- Document support procedures, playbooks, and contribute to knowledge base articles for common issues.
- Performs other duties as assigned.
The TOOLS you’ll bring with you:
- 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.
- Solid written, verbal, analytical, and interpersonal skills.
- Ability to collaborate and communicate effectively with cross-functional teams.
Other TOOLS we prefer you 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.
