Responsibilities:

• Configure and manage Virtual Network in Azure
• Establish our core services in the VNET and enable Azure to serve as a part of network
• Develop scripts to automate the deployment of resource stacks and associated configurations
• Utilize native Azure services to mee,t the firms technology and resiliency requirements
• Drive Identity, access, and configuration management
• Monitor strategy for Azure Lead design process for network connectivity to Azure Extend MLP standard systems management processes into the cloud including change, incident, and problem management
• Establish and implement monitoring and management infrastructure for both availability and performance management
• Establish internal pricing and instance selection model for Azure virtual machines
• Integrate Azure management tooling with MLP including automation of spin-up / spin-down and billing approvals
• Design and implement data protection options, including HA and BCP protection in Azure

• 5+ years of Expert level experience programming in both SQL and Python
• 5+ years of Azure data ecosystem experience (Databricks & Azure Synapse Analytics)
• 3+ years of experience developing big data engineering systems powered by APIs and creating medallion architecture (bronze, silver, gold) on structured and nonstructured data.
• 2 + years of experience automating workloads using one of the following tools (Databricks workflows, Prefect, CI/CD)
• 2+ years of experience working within source and version control systems as (Github or Azure DevOps)
• 2+ years of experience developing automated security systems around data (Schema security, table level security, row level security, dynamic data masking)
• 2+ years of experience developing automated response systems for production grade data systems (Alerting, Monitoring, Logging, and Automated backups)
  2+ years of experience developing and working with credential management systems (Azure key vault, HashiCorp, etc.)
• 2+ years of proficiency using Power BI (Star Schema, Dax, Performance Analyzer, BPA Tabular)
• Microsoft Certification (DP-203) or (preferred) Databricks Certified Data Engineer Professional)

• Proven ability to drive big data engineering projects independently with minimal supervision.
• Proven background in working with big and complex data sets within large organizations
• Ability to analyze data to solve a wide variety of business problems and create data visualizations that drive strategic direction
• Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
• Experience with multiple cloud technologies is a major plus (ServiceNow, Splunk, Dynatrace, Axonius, Azure Log Analytics)