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Job Description
Structured overview of role & requirementsAbout This Role
Design and deploy automated Azure infrastructure using ARM templates and manage Azure services for event-driven data workflows.
Lead orchestration and automation of enterprise data pipelines via Astronomer (Apache Airflow) and dbt with CI/CD pipelines.
Manage Snowflake architecture including security (RBAC), performance tuning, and integrations with upstream/downstream systems while ensuring platform observability.
Minimum Requirements
8+ years experience in DevOps, SRE, or Data Infrastructure in data-centric environments.
Strong expertise with Microsoft Azure including ARM templates, Azure Functions, Event Bus, and Event Grid.
Hands-on experience with Astronomer or Apache Airflow, Snowflake architecture and security, and building CI/CD pipelines for data workloads.
Proficiency with containerization (Docker), Azure Key Vault for secrets management, secure SFTP to Azure Blob Storage integrations, and monitoring tools like Prometheus or Grafana.
Ideal Candidate Profile
Experienced in designing and operating scalable data platform infrastructure on Azure with automated provisioning and workflow orchestration.
Skilled in integrating and securing data engineering ecosystems involving Snowflake, dbt, and Airflow in a production environment.
Comfortable collaborating with cross-functional teams (Data Engineers, Architects, stakeholders) to define standards, SLAs, and maintain detailed technical documentation.