Developer - Senior (Platform Engineering)

Title : Developer - Senior (Platform Engineering) | THIS IS NOT A DEVELOPER ROLE (IT'S TITLED THAT)

Work Location : Midtown Office

Work Location : Richmond, VA OR Dallas, TX - Need someone LOCAL ONLY

Start Date : ASAP

NO VISA CANDIDATES

RATE IS OPEN (TARGETING 70 / HR)

Need Platform as a Service experience in Azure - Azure Devops / automation experience.

Job Description :

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.

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.

Minimum Qualifications :

Mandatory Skills :

7+ years Cloud Platform Engineering experience in an enterprise-level environment

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