Cloud/Azure Engineer

Description

We are looking for a Cloud/Azure Engineer to support modern cloud data platforms and engineering initiatives in New York. This long-term contract opportunity is ideal for someone who can design, build, and improve Azure-based solutions while working closely with technical and business stakeholders. The role focuses on scalable data architecture, automation, platform reliability, and secure cloud operations across enterprise environments.

Responsibilities:
Design, build, and maintain cloud solutions using Microsoft Azure services with an emphasis on Synapse, Azure Data Factory, Databricks, and related platform components.
Develop and enhance data pipelines, transformation workflows, and integration processes to support reliable movement and processing of enterprise data.
Create and optimize cloud architectures that support data warehousing, data lake environments, and efficient analytical workloads.
Implement automation and deployment practices through CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, or similar technologies.
Monitor platform health, investigate issues, and resolve performance bottlenecks using Azure monitoring and diagnostic tools including Azure Monitor and Log Analytics.
Apply cloud security, governance, and compliance standards to ensure Azure resources are configured and managed according to organizational requirements.
Write and maintain scripts in PowerShell, Python, or Bash to automate administration, orchestration, and operational tasks.
Partner with cross-functional teams to gather technical requirements, communicate design decisions, and deliver solutions aligned with changing priorities.
Travel to local sites as needed and support occasional physical handling of equipment or materials up to 35 pounds.

Requirements

3-5 years of hands-on experience working with Microsoft Azure services in a cloud engineering or cloud architecture capacity.
Proven experience with Azure Synapse Analytics, Azure Data Factory including pipelines and data flows, and Azure Databricks.
Working knowledge of scripting or programming in PowerShell, Python, Bash, or similar languages.
Solid understanding of cloud security principles, governance practices, and compliance-related controls.
Experience with data modeling, data warehousing, and data lake design concepts.
Background building or supporting CI/CD processes with Azure DevOps, GitHub Actions, or comparable tools.
Ability to troubleshoot complex technical issues, improve system scalability, and communicate effectively with both technical and non-technical stakeholders.
Willingness to travel to local sites as needed and ability to lift up to 35 pounds.

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