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Enterprise Cloud Engineer
Bunzl Distribution NA. Design, build, and optimize scalable infrastructure and administration solutions using Azure and Databricks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Azure and Databricks for building scalable infrastructure and data solutions, with a strong focus on data governance, CI/CD automation, and enterprise data management.
Highest-signal resume keywords
Azure Databricks ExperienceData Engineering ExperienceCI/CD AutomationData GovernancePython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AzureDatabricksPythonSQLSparkCI/CDDevOpsData GovernanceData TransformationDistributed Data Processing
Tools & Technologies
Power BIEnterprise Lakehouse ArchitectureCloud AutomationIngestion FrameworksETL/ELT Pipelines
Certifications & Qualifications
Databricks Data EngineerAzure Data Engineer (DP-203)Azure Solutions Architect (AZ-305)
Industry Keywords
Data QualityMetadataLineageGovernanceAccess ManagementCloud ModernizationAIMachine LearningAdvanced Analytics
Tech Stack
Tools & technologiesAzureCloudERPETLPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, and optimize scalable infrastructure and administration solutions using Azure and Databricks
- Support enterprise ETL/ELT pipelines, ingestion frameworks, data transformation processes, and Databricks apps
- Implement and enforce user policies to ensure best practices are being followed
- Support Databricks platform administration, monitoring, security, performance, and cost optimization
- Build automated CI/CD deployment pipelines and Infrastructure-as-Code solutions
- Partner with business, analytics, and engineering teams to deliver trusted, governed, and production-ready data assets
- Drive adoption of enterprise standards for data quality, metadata, lineage, governance, and access management
- Contribute to the foundation supporting advanced analytics, AI, and future data enablement initiatives
Requirements
What you’ll need- High school diploma or equivalent required
- Bachelor’s degree in information technology or similar area of study
- 2+ years of hands-on Azure Databricks experience
- 3+ years working with Microsoft Azure
- 5+ years of Data Engineering, Cloud Engineering, or Platform Engineering experience
- Strong experience with Python, SQL, Spark, and distributed data processing
- Experience designing and supporting enterprise-scale data platforms
- Hands-on experience with CI/CD, DevOps practices, and cloud automation
- Strong understanding of data governance, security, and operational support
- Hands-on experience with Azure, Databricks, Python, SQL, PySpark, CI/CD automation, data governance, Power BI integration, and enterprise Lakehouse architecture
- Preferred certifications: Databricks Data Engineer, Azure Data Engineer (DP-203), or Azure Solutions Architect (AZ-305)
- Experience with enterprise data migrations, ERP integrations, cloud modernization, AI, machine learning, or advanced analytics platforms
Benefits
Comp & perks- Medical, Dental & Vision Benefits effective the 1st day of the month after 30 days
- Paid Time Off - Vacation, Sick, Holidays and Personal Time
- 401K with generous company match