Key skills
Azure Data Factory (ADF)Self-hosted Integration Runtime (SHIR)LogicAppsAzure Data Lake Storage Gen2 (ADLS Gen2)Blob StorageSnowflakeGitActions CI/CDTerraformDatabricksCloud architectureInfrastructure as Code (IaC)Data EngineeringData LakeAnalyticsAzureKubernetesDockerCI/CDCommunicationCollaboration
About this role
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. They are seeking a highly skilled Cloud Data Platform Engineer to design and manage Cloud Data Platform infrastructure, optimize data warehouse solutions, and develop CI/CD pipelines for seamless integration and deployment.
Responsibilities:
- Design, implement, and manage Cloud Data Platform infrastructure for Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), LogicApps, Azure Data Lake Storage Gen2 (ADLS Gen2), and Blob Storage
- Configure and optimize Snowflake data warehouse solutions to meet business requirements
- Develop and maintain CI/CD pipelines using GitActions to ensure seamless integration and deployment processes
- Utilize Terraform for infrastructure as code (IaC) to automate and manage cloud resources
- Collaborate with cross-functional teams to understand data requirements and deliver scalable, reliable cloud solutions
- Monitor and troubleshoot Cloud Data Platform infrastructure to ensure high availability and performance
- Implement security best practices to safeguard data and cloud resources
Requirements:
- Bachelor's Degree in Computer Science, Management Information Systems or similar related technical degree
- 5+ years of hands-on experience in setting up and managing Cloud Data Platform infrastructure for Azure Cloud Data Stacks (ADF, SHIR, LogicApps, ADLS Gen2, Blob Storage)
- 3+ years of experience in Snowflake configuration and optimization
- 3+ years of experience hands-on experience with DevOps tools and practices, including GitActions CI/CD and Terraform
- 2+ years of experience with setting up, configuring, and optimizing Databricks for data engineering and analytics workloads
- Solid understanding of cloud architecture and infrastructure as code (IaC) principles
- Proven excellent problem-solving skills and ability to work in a fast-paced environment
- Proven solid communication and collaboration skills
- Ability to travel up to 10% when needed
- Experience with other cloud platforms and data solutions
- Knowledge of data governance and compliance standards
- Familiarity with containerization technologies such as Docker and Kubernetes
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy