Snowflake DBA

Job Description

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are looking for a highly skilled Senior Snowflake DBA to lead the administration, performance tuning, and governance of our enterprise Snowflake environment. This role will play a critical part in ensuring the availability, security, and scalability of our cloud data platform, while enabling high-performance analytics and data science across business units Responsibilities 1. Snowflake Platform Administration Manage and monitor Snowflake environments, including warehouse performance, query optimization, and user access. Configure and administer virtual warehouses, roles, databases, schemas, and storage. Oversee resource usage and cost optimization across the platform. 2. Security, Access Control & Governance Implement and maintain role-based access control (RBAC) and data masking/tokenization in accordance with governance and compliance policies. Enforce data security standards, including audit logging, object access tracking, and integration with identity providers (e.g., Okta, Azure AD). Support data privacy and regulatory compliance (e.g., GDPR, HIPAA, SOX) through appropriate controls. 3. Performance Optimization & Monitoring Monitor and fine-tune query performance, storage usage, and compute resource allocation. Leverage Snowflakes Query Profile and Resource Monitors to proactively identify performance bottlenecks and anomalies. Collaborate with data engineering and BI teams to optimize data pipelines and workloads. 4. Platform Support & Incident Management Provide expert-level support for platform incidents, access issues, and job failures. Define and manage backup, recovery, and disaster recovery strategies for Snowflake data and objects. Maintain environmental health and proactively resolve errors or capacity constraints. 5. Automation, Integration & Upgrades Build or enhance automation scripts for provisioning, monitoring, and maintenance (e.g., using Python, dbt, Terraform). Integrate Snowflake with BI tools, orchestration tools (e.g., Matillion, Airflow), and data catalogs. Stay updated on Snowflake releases and evaluate new features for enterprise readiness. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of database administration experience, with at least 3 years focused on Snowflake. Deep knowledge of SQL, Snowflake architecture, and cloud-based data ecosystems (AWS, Azure, or GCP). Experience implementing RBAC, data masking, and governed access models. Strong understanding of query tuning, cost management, and warehouse scaling strategies. Experience with monitoring tools (e.g., Snowflake Usage Views, third-party monitoring, or custom solutions). Preferred: Snowflake certification(s) (e.g., SnowPro Advanced: Architect or Administrator). Familiarity with data pipeline tools (Matillion, dbt, Fivetran), orchestration (Airflow), and cataloging (Alation, Collibra). Exposure to data engineering, BI, or AI/ML workflows within Snowflake. Scripting experience in Python, Bash, or Infrastructure-as-Code (e.g., Terraform). 1. Snowflake Platform Administration Manage and monitor Snowflake environments, including warehouse performance, query optimization, and user access. Configure and administer virtual warehouses, roles, databases, schemas, and storage. Oversee resource usage and cost optimization across the platform. 2. Security, Access Control & Governance Implement and maintain role-based access control (RBAC) and data masking/tokenization in accordance with governance and compliance policies. Enforce data security standards, including audit logging, object access tracking, and integration with identity providers (e.g., Okta, Azure AD). Support data privacy and regulatory compliance (e.g., GDPR, HIPAA, SOX) through appropriate controls. 3. Performance Optimization & Monitoring Monitor and fine-tune query performance, storage usage, and compute resource allocation. Leverage Snowflakes Query Profile and Resource Monitors to proactively identify performance bottlenecks and anomalies. Collaborate with data engineering and BI teams to optimize data pipelines and workloads. 4. Platform Support & Incident Management Provide expert-level support for platform incidents, access issues, and job failures. Define and manage backup, recovery, and disaster recovery strategies for Snowflake data and objects. Maintain environmental health and proactively resolve errors or capacity constraints. 5. Automation, Integration & Upgrades Build or enhance automation scripts for provisioning, monitoring, and maintenance (e.g., using Python, dbt, Terraform). Integrate Snowflake with BI tools, orchestration tools (e.g., Matillion, Airflow), and data catalogs. Stay updated on Snowflake releases and evaluate new features for enterprise readiness.