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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in administering Databricks environments and supporting Azure cloud services, with a strong focus on Infrastructure as Code using Terraform. Capable of optimizing data ingestion frameworks and ensuring compliance with data governance standards.
Highest-signal resume keywords
Databricks AdministrationTerraform Infrastructure as CodeAzure Cloud Services SupportData Ingestion Solutions DevelopmentSQL Troubleshooting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DatabricksTerraformSQLData IngestionData GovernanceData ModelingCloud EngineeringOperational WorkloadsData ArchitectureAutomation
Soft Skills
CollaborationProblem-SolvingIndependent WorkCommunication
Tools & Technologies
Azure Data LakeUnity CatalogSnowflakeCI/CD Tools
Industry Keywords
Data EngineeringCloud AnalyticsHealthcare ExperienceRegulated Industry Experience
Tech Stack
Tools & technologiesAzureCloudPythonSQLTerraformUnity
About the role
Key responsibilities & impact- Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads
- Manage platform configurations, cluster performance, capacity planning, and operational stability
- Monitor platform health and troubleshoot performance, reliability, and operational issues
- Support lifecycle management of platform resources across development, testing, and production environments
- Develop and maintain Infrastructure as Code solutions using Terraform
- Support cloud-based data infrastructure within Azure environments
- Implement automation to improve platform consistency, reliability, and operational efficiency
- Partner with infrastructure and security teams to ensure adherence to enterprise standards
- Build and support data ingestion frameworks and pipelines
- Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads
- Support structured and unstructured data workloads within cloud data environments
- Assist in identifying and resolving data performance bottlenecks
- Support data governance initiatives using Databricks Unity Catalog
- Implement and maintain data access controls, permissions, and governance standards
- Ensure compliance with organizational security and data management requirements
- Contribute to metadata, lineage, and data quality practices
- Evaluate new tools, technologies, and platform capabilities
- Recommend improvements that enhance scalability, reliability, and developer productivity
- Document platform standards, operational procedures, and support processes
- Participate in incident response, root cause analysis, and operational reviews
- Work independently with limited direction and partner with data engineers, architects, analysts, and business stakeholders
- Help ensure the enterprise data platform remains scalable, secure, and efficient
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
- 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines
- Experience administering Databricks environments
- Experience with Terraform and Infrastructure as Code practices
- Experience supporting Azure cloud services and infrastructure
- Experience developing and maintaining data ingestion solutions
- Strong SQL and troubleshooting skills
- Experience supporting production environments and operational workloads
- Understanding of data modeling, data governance, and modern data architecture concepts
- Must not require current or future sponsorship
- Preferred: Experience with Unity Catalog and Databricks governance capabilities
- Preferred: Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies
- Preferred: Experience with Python and data engineering automation
- Preferred: Experience working in large-scale cloud analytics environments
- Preferred: Experience supporting CI/CD and deployment automation practices
- Preferred: Healthcare or regulated industry experience
Benefits
Comp & perks- Competitive compensation package
- Annual bonus or long-term incentive opportunities may be offered
- Benefits through McKesson’s Total Rewards program
- Equal employment opportunities
- Reasonable accommodation for applicants with disabilities