Senior Snowflake Platform Engineer

• Design, implement, and manage enterprise Snowflake environments across development, QA, and production.
• Architect scalable and highly available Snowflake solutions aligned with business and technical requirements.
• Manage Snowflake accounts, warehouses, databases, schemas, roles, users, resource monitors, and security policies.
• Implement Snowflake security best practices, including RBAC, data masking, row access policies, encryption, and secure data sharing.
• Monitor and optimize Snowflake performance, query execution, warehouse utilization, and overall platform costs.
• Develop and maintain automated deployment processes using CI/CD and Infrastructure as Code.
• Implement Snowflake administration and automation using tools such as Terraform, Python, SQL, and Snowflake APIs.
• Manage integrations between Snowflake and cloud services such as AWS, Azure, or GCP.
• Support data ingestion and integration patterns using Snowpipe, Snowpipe Streaming, external stages, APIs, and ETL/ELT tools.
• Establish platform monitoring, alerting, logging, governance, and operational best practices.
• Troubleshoot complex Snowflake performance, connectivity, security, and data platform issues.
• Develop standards and reusable frameworks for Snowflake development and platform operations.
• Collaborate with data engineering teams to optimize data models, pipelines, and workloads.
• Participate in capacity planning, disaster recovery, business continuity, and platform resiliency initiatives.
• Provide technical leadership and mentorship to junior and mid-level engineers.
• Stay current with Snowflake features, cloud technologies, data engineering practices, and platform engineering trends.

• Design, implement, and manage enterprise Snowflake environments across development, QA, and production.
• Architect scalable and highly available Snowflake solutions aligned with business and technical requirements.
• Manage Snowflake accounts, warehouses, databases, schemas, roles, users, resource monitors, and security policies.
• Implement Snowflake security best practices, including RBAC, data masking, row access policies, encryption, and secure data sharing.
• Monitor and optimize Snowflake performance, query execution, warehouse utilization, and overall platform costs.
• Develop and maintain automated deployment processes using CI/CD and Infrastructure as Code.
• Implement Snowflake administration and automation using tools such as Terraform, Python, SQL, and Snowflake APIs.
• Manage integrations between Snowflake and cloud services such as AWS, Azure, or GCP.
• Support data ingestion and integration patterns using Snowpipe, Snowpipe Streaming, external stages, APIs, and ETL/ELT tools.
  
  Establish platform monitoring, alerting, logging, governance, and operational best practices.
• Troubleshoot complex Snowflake performance, connectivity, security, and data platform issues.
• Develop standards and reusable frameworks for Snowflake development and platform operations.
• Collaborate with data engineering teams to optimize data models, pipelines, and workloads.
• Participate in capacity planning, disaster recovery, business continuity, and platform resiliency initiatives.
• Provide technical leadership and mentorship to junior and mid-level engineers.
• Stay current with Snowflake features, cloud technologies, data engineering practices, and platform engineering trends.

• 7+ years of experience in data engineering, data platforms, cloud engineering, or related roles.
• 4+ years of hands-on experience with Snowflake platform engineering or administration.
• Strong expertise in Snowflake architecture, security, performance tuning, and cost optimization.
• Strong SQL and database development experience.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Snowflake features including Snowpipe, Streams, Tasks, Dynamic Tables, Time Travel, Zero-Copy Cloning, Secure Data Sharing, and Resource Monitors.
• Strong understanding of Snowflake RBAC, access controls, data governance, and security.
• Experience with Python and/or scripting for automation.
• Experience with Terraform or other Infrastructure-as-Code technologies.
• Hands-on experience with CI/CD tools such as Jenkins, Git Hub Actions, Git Lab CI, or Azure Dev Ops.
• Experience with Git and modern Dev Ops practices.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and collaboration skills.

Skills:

data,security,aws,snowflake,automation,ci,cloud,data engineering,azure,access