Senior Database Admin Newport Beach, CA | Austin, Tx On-site

ESRhealthcare and EXEC STAFF RECRUITERS • Newport Beach, CA

36d • Onsite

About The Position

Senior Database Admin Newport Beach, CA | Austin, Tx On-site Contract-to-Hire Client Note: This is primarily a database administration role focused on performance tuning and optimization in snowflake Key Responsibilities - Architect and operate a cloud-native Snowflake platform on AWS (account/region strategy, security, networking, environment topology). - Own workload performance and spend: warehouse sizing (single/multi-cluster, scaling policy), Resource Monitors, Query Acceleration Service, caching, and workload isolation. - Tune queries and data design: micro-partition optimization, clustering keys, Search Optimization Service, materialized views, Dynamic Tables. - Apply modern storage patterns: permanent/transient/temporary tables, External/Iceberg Tables; leverage zero-copy cloning for dev/test. - Implement security and governance: RBAC, tag-based policies, column masking/row access, SSO/SAML/OAuth, network policies/PrivateLink, KMS integration. - Monitor and alert using ACCOUNT_USAGE, INFORMATION_SCHEMA, Event Tables; integrate with CloudWatch/Slack/PagerDuty; define SLAs/SLOs. - Deliver DR/backup strategies: Time Travel, Fail-safe, cross-region replication, and failover/failback. Qualifications - 5+ years in database engineering/development; 3+ years hands-on, production Snowflake at scale. - 2+ years as a cloud database engineer; 2+ years in public cloud (AWS preferred). - Expert Snowflake performance engineering: profiling, pruning effectiveness, clustering, Search Optimization, Dynamic Tables, Streams & Tasks. - Proven AWS integration: S3, IAM/KMS, VPC/PrivateLink, CloudWatch, Lambda/events. - Strong SQL and Python; Snowpark experience preferred. - Security/compliance: RBAC, masking/row policies, object tagging, SSO/SAML/OAuth/key-pair auth; familiarity with Business Critical controls. - DevOps/IaC and automation: Git, CI/CD, Terraform; scripting with bash/Python, SnowSQL/SnowCLI. - Monitoring/observability at scale; excellent communication, analytical problem-solving, and rigorous documentation. Nice to Have - Snowflake Cortex AI: embeddings, vector search, LLM inference and governance. - Unistore/Hybrid Tables for operational patterns. - External/Iceberg Tables and data sharing/Marketplace. - Orchestration/ELT tools (dbt, Airflow, Fivetran). - Cross-cloud/region DR experience; SnowPro and AWS certifications.

Requirements

• 5+ years in database engineering/development; 3+ years hands-on, production Snowflake at scale.
• 2+ years as a cloud database engineer; 2+ years in public cloud (AWS preferred).
• Expert Snowflake performance engineering: profiling, pruning effectiveness, clustering, Search Optimization, Dynamic Tables, Streams & Tasks.
• Proven AWS integration: S3, IAM/KMS, VPC/PrivateLink, CloudWatch, Lambda/events.
• Strong SQL and Python; Snowpark experience preferred.
• Security/compliance: RBAC, masking/row policies, object tagging, SSO/SAML/OAuth/key-pair auth; familiarity with Business Critical controls.
• DevOps/IaC and automation: Git, CI/CD, Terraform; scripting with bash/Python, SnowSQL/SnowCLI.
• Monitoring/observability at scale; excellent communication, analytical problem-solving, and rigorous documentation.

Nice To Haves

• Snowflake Cortex AI: embeddings, vector search, LLM inference and governance.
• Unistore/Hybrid Tables for operational patterns.
• External/Iceberg Tables and data sharing/Marketplace.
• Orchestration/ELT tools (dbt, Airflow, Fivetran).
• Cross-cloud/region DR experience; SnowPro and AWS certifications.

Responsibilities

• Architect and operate a cloud-native Snowflake platform on AWS (account/region strategy, security, networking, environment topology).
• Own workload performance and spend: warehouse sizing (single/multi-cluster, scaling policy), Resource Monitors, Query Acceleration Service, caching, and workload isolation.
• Tune queries and data design: micro-partition optimization, clustering keys, Search Optimization Service, materialized views, Dynamic Tables.
• Apply modern storage patterns: permanent/transient/temporary tables, External/Iceberg Tables; leverage zero-copy cloning for dev/test.
• Implement security and governance: RBAC, tag-based policies, column masking/row access, SSO/SAML/OAuth, network policies/PrivateLink, KMS integration.
• Monitor and alert using ACCOUNT_USAGE, INFORMATION_SCHEMA, Event Tables; integrate with CloudWatch/Slack/PagerDuty; define SLAs/SLOs.
• Deliver DR/backup strategies: Time Travel, Fail-safe, cross-region replication, and failover/failback.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed