Cloud Data Operations Engineer - Technology Specialist I - Digital and Technology Partners - Hybrid/Onsite

This is a Hybrid/Onsite position, requires onsite as needed and to interview onsite

Location: 150 E 42nd Street, New York, NY

Mount Sinai’s Enterprise Data Cloud team is seeking a Cloud Data Operations Engineer with both problem-solving and Cloud engineering skills to assist in various Cloud Services and Data Management projects. The focus of this role is to support Director of Data Cloud Engineering in planning, design, implementation and support deployments. To ensure Data Cloud implementation is aligned with the Digital Technology Partner (DTP) strategy and Enterprise architecture. The Cloud Engineering Lead will be responsible for providing technical support for Data Cloud deployment, primarily on Microsoft Azure and/or support in the creation and delivery of technology solutions designed to meet Mount Sinai business needs. Seeking a self-driven individual who can work with internal and external stakeholders and also mentor other junior resources on Cloud adoption within the current or extended DTP team.

• Clear understanding of Azure cloud stack including Serverless, Managed and custom deployments.
• Experience in PowerShell, Shell script or any other scripting language to implement IAC methodology where applicable which translates into consistent delivery efficiency
• Technology and business enablement advocate advising the best practice methods in how to utilize cloud services to drive competitive advantage.
• Provide support to DTP Enterprise Data cloud team to develop complex solution designs, detailed project plans and work breakdown structures.
• Provide support to DTP Enterprise Data cloud team to develop Architecture Specification deliverables that map business requirements to solution / technologies.
• Provide support to DTP Enterprise Data cloud team to create a migration roadmap to move services from Enterprise Data Cloud subscription to Enterprise tenant including all Azure resources + PaaS services like ADF, ADB, AKS, Azure Synapse Analytics instances.
• Provide support to DTP Enterprise Data cloud team to help create and implement a solution roadmap and select the right infrastructure and technology platform or product based on in-depth knowledge of one and broad knowledge of other technologies and/or alliance product landscape.
• Able to independently complete solution implementation or application design deliverables.
• Able to learn quickly and keep pace with the rapid changes in the IT industry particularly in cloud and mobility.
• Mentor others and assist them with their professional development. 

• Bachelor degree in Computer Science or a related discipline, or an equivalent combination of education and work experience. Masters degree preferred.
• Eight years of diverse work experience in IT with a minimum of six years experience in systems analysis and application program development, or an equivalent combination of education and work experience.

• Expert knowledge in following technology areas
  • Cloud infrastructure, virtualization and systems (Windows, Linux, Storage, Networking)
  • Azure Cloud solutions (Public, Private, Hybrid, Azure networking)
  • Data Services (Azure Data Factories, Azure Databricks, Azure Syanpse, Azure Data Lake storage)
  • Cloud computing (Virtual Machines, SQL Server, Cosmos DB, AKS, etc.,) 
  • Network and security (Load balancers, Vnet, Subnets, FWs, VPN Gateways)
  • Mobility and WAN
  • Identity management (ADFS, AAD)
• Good understanding of Data services, working with Data engineers in supporting the infrastructure needs.
• Capable of building enterprise Knowledge base systems.
• Excellent technical documentation and reporting skills
• Detail-oriented self-starter, with the initiative to articulate goals, plan and implement efforts to achieve those goals, identify issues and impacts, and meet deadlines.
• Able to work independently and within a team environment.
• Excellent interpersonal and organizational skills required to work alongside a diverse team of multidisciplinary professionals.