Senior Cloud Data Platform Engineer

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.