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Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
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Years
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Required/Preferred
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Experience
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8
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Required
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Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
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8
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Required
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Hands-on experience with Microsoft Azure cloud platform
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8
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Required
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Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
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8
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Required
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Proficiency in Python scripting for automation and data engineering tasks
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8
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Required
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Experience with containerization and orchestration (AKS preferred)
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8
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Required
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Knowledge of data pipelines, ETL processes, and cloud data integration
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8
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Required
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Understanding of AI/ML concepts and platform integration
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8
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Required
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Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics
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8
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Required
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Familiarity with monitoring, logging, and observability tools
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3
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Preferred
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Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
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3
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Preferred
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Experience with Infrastructure as Code
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3
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Preferred
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Knowledge of data security, compliance, and governance frameworks
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3
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Preferred
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Prior experience in public sector or large enterprise environments
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2
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Preferred
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Strong problem-solving and analytical skills
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2
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Preferred
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Ability to manage multiple priorities in a fast-paced environment
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2
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Preferred
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Attention to detail and commitment to best practices
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2
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Preferred
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Snowflake AI / Cortex features exposure
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1
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Preferred
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Excellent communication and documentation skills
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