Job Summary
We are seeking a highly experienced Snowflake DBA with strong cloud platform expertise, particularly in Azure Data Stack components. The ideal candidate will have deep hands-on experience managing Snowflake environments, implementing CI / CD pipelines, and using Infrastructure-as-Code (IaC) tools to build scalable, secure cloud data platforms.
Required Skills & Experience
- Minimum 12+ years of total IT experience
- 5+ years of hands-on experience managing and supporting Cloud Data Platforms in Azure , including :
Azure Data Factory (ADF)
Self-Hosted Integration Runtime (SHIR)Logic AppsADLS Gen2Blob StorageStrong expertise in Snowflake administration , including setup, configuration, performance tuning, security, and cost optimization.Hands-on experience with DevOps tools and processes , particularly :GitActions CI / CD
Terraform (IaC)Solid understanding of cloud architecture , infrastructure automation, and best practices.Key Responsibilities
Design, deploy, and administer Snowflake environments including warehouses, databases, roles, security policies, and resource monitors.Optimize Snowflake performance through clustering, micro-partitioning analysis, query tuning, and workload optimization.Implement and manage Azure Data Stack components, including ADF, SHIR, ADLS Gen2, Logic Apps, and Blob Storage.Develop and manage CI / CD pipelines for data platform deployments using GitActions.Build and maintain Infrastructure-as-Code templates using Terraform to automate cloud resource provisioning.Monitor system health, performance, and cost usage across Snowflake and Azure environments.Ensure data security and compliance by implementing access controls, encryption standards, and governance policies.Collaborate with data engineering, analytics, BI, and DevOps teams to support ongoing development and production workloads.Troubleshoot system issues, perform root cause analysis, and implement solutions to avoid recurring problems.Support data migration, data ingestion pipelines, and integration activities across cloud and on-premise systems.Document architecture, configurations, standards, and procedures for ongoing platform operations.Desired Skills
Experience in setting up and optimizing Databricks for data engineering or analytics workloads.Experience with additional cloud platforms (AWS, GCP) or enterprise data solutions.Knowledge of data governance , compliance frameworks, and security standards.Familiarity with containerization technologies such as Docker or Kubernetes.