Senior DataOps Engineer - Microsoft Fabric, Snowflake & Databricks

Usxi India; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative company is looking for an Azure DataOps Engineer to design and maintain modern data pipelines using cutting-edge technologies like Microsoft Fabric, Databricks, and Snowflake. This role is pivotal in helping clients transition to scalable, cloud-based solutions that enhance their data platforms and drive impactful business outcomes. You'll leverage your expertise in Azure services and DataOps best practices while collaborating closely with clients to implement cloud-first architectures. If you're passionate about data technologies and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• 5+ years experience in Azure implementation and operations focused on data platforms.
• Proficiency in building and maintaining data pipelines on Microsoft Fabric, Snowflake, and Databricks.

Responsibilities

• Design and deploy end-to-end data pipelines using Azure services.
• Collaborate with clients to modernize data platforms with cloud-first architectures.

Skills

Azure DataOps

Microsoft Fabric

Databricks

Snowflake

Terraform

PowerShell

Python

Incident Management

Education

Bachelor's Degree in Computer Science

Engineering or related field

Tools

Azure IaaS/PaaS

ARM

Jira

Azure DevOps

ServiceNow

Job description

We are seeking an Azure DataOps Engineer to design, build, and maintain modern data pipelines using Microsoft Fabric, Databricks, Snowflake, and Azure. You will play a key role in helping clients modernize their data platforms and create scalable, cloud-based solutions to drive better insights and business outcomes.

Working Hours: MST Time zone

Key Responsibilities:

• Design, implement, and deploy end-to-end data pipelines using Microsoft Fabric, Databricks, Snowflake, and Azure services.
• Perform Azure implementation, deployment, and migration activities
• Leverage DataOps and DevOps best practices to ensure seamless, efficient data operations.
• Collaborate with clients to modernize their data platforms, implementing cloud-first architectures.
• Automate infrastructure and data workflows using Terraform, PowerShell, and Python.
• Provide mentorship, technical guidance, and support to peers while contributing to best practices and templates.

Required Qualifications:

• 5+ years of experience in Azure implementation and operations, with a focus on data platforms.
• Experience in building and maintaining modern data pipelines on Microsoft Fabric, Snowflake, and Databricks.
• Proficiency with Azure IaaS/PaaS, ARM, and Terraform for infrastructure automation.
• Experience with using incident management systems, such as Jira, Azure DevOps, or ServiceNow
• Strong problem-solving skills and the ability to work autonomously in a highly collaborative environment.
• Bachelors Degree in Computer Science, Engineering, or related field, or equivalent experience.
• A passion for learning and staying ahead in cloud and data technologies.