Platform Engineer

The Data and Analytics Engineering - Platform team is critical to making our organization's data strategy successful. You will play a key role in building and managing modern, adaptive, data-driven, and secure platforms and processes to enable Data & Analytics Engineering. You should have strong fundamentals of Data/Software Engineering, DevOps, and hands-on experience with Azure Cloud services. You will work on cross-functional initiatives and projects.
Need to be within 100 miles of Dallas, TX OR Richmond, VA
Roles and Responsibilities:

• Build, deploy, and configure Azure infrastructure, including but not limited to Azure Data Factory, storage, key vaults, virtual networking, virtual machines, and automated deployments
• Automate infrastructure deployment through Infrastructure as Code and CI/CD pipelines
• Evaluate and automate the scaling and capacity requirements within Azure environment
• Implement, setup, configure, monitor, and maintain cloud based Data & Analytics platforms such as Databricks and Snowflake. Troubleshoot and resolve environment performance issues, connectivity issues, security issues
• Make recommendations and execute cost saving strategies for Cloud services
• Self-directed and able to balance the priorities of multiple teams, systems, and products with a leadership mindset
• Work collaboratively in teams and develop meaningful relationships to achieve common goals
• Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles
• Drive efficient resolution for system outages as well as performance and functional shortcomings. Engage in critical support situations and effectively, efficiently, and quickly drive successful resolution
• Design and implement solutions that leverage cloud services such as serverless computing, containers, and data lakes.

• 5-7+ years Cloud Platform Engineering experience in an enterprise-level environment
• Advanced proficiency with Python, SQL, GitHub, Azure DevOps, Bicep/Terraform, PowerShell is required. Deep understanding and hands on experience with Infrastructure-as-Code, and configuration management automation tools is required
• 5+ years of DevOps experience with a clear understanding of related tools, structure, and processes working in an Agile/Scrum setting
• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• Excellent communication skills, adapting to various audience types
• Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization
• Effective problem-solving, analytical thinking, cloud-native and security-first mind set, documentation, communication, and presentation skills
• Ability to positively influence team norms, culture, and technical vision

• Bachelor's in Computer Science or equivalent area
• Experience with cloud services such as Snowflake, Databricks, Synapse, SQL, CosmosDB, Data Factory, Event Hub, Functions, Batch, Key Vault, Managed Identity, Service Principal, Networking, Active Directory, Log Analytics, Monitoring
• Windows and Linux server/systems administration experience is highly desired
• Azure Administrator certification, Solution Architect, or Databricks Platform Administrator certification, Snowflake SnowPro certification is a strong plus
• Experience with Azure cost management and forecasting is desired