Senior Service Engineer
Providence India View all jobs
- Hyderabad, Telangana
- Temporary
- Full-time
- Own end-to-end Snowflake platform administration, ensuring the platform is secure, performant, cost-optimized, and scalable to support enterprise analytics and AI use cases.
- Design, implement, and manage Snowflake security architecture, including role hierarchy, access controls, data governance patterns, and least-privilege access aligned with enterprise security standards.
- Drive warehouse and compute strategy, including right-sizing, workload isolation, multi-cluster configurations, and warehouse lifecycle management to balance performance and cost.
- Lead performance optimization efforts by deeply understanding Snowflake internals and proactively tuning queries, warehouses, storage patterns, and platform configurations.
- Implement and operationalize Infrastructure as Code (IaC) for Snowflake administration, enabling repeatable, automated, and scalable platform operations.
- Build and promote automation and self-service capabilities to reduce manual administrative effort and improve onboarding velocity for Snowflake consumers.
- Collaborate closely with data engineering, analytics, AI, and business stakeholders to onboard new use cases onto Snowflake and guide them on best practices.
- Evaluate, implement, and govern Snowflake serverless features (e.g., tasks, streams, dynamic tables, search optimization, auto-clustering) and adopt them where they deliver measurable value.
- Define and manage storage strategies at table and schema levels, selecting the right storage and optimization mechanisms based on data access patterns, cost, and performance requirements.
- Monitor and govern data ingestion pipelines into Snowflake, ensuring reliable data availability, timely processing, and quick resolution of ingestion failures.
- Collaborate with data engineering teams, vendors, and downstream consumers to diagnose, fix, and prevent ingestion issues, while continuously improving ingestion reliability and SLAs.
- Provide expert guidance on Snowflake AI services and Cortex offerings, helping stakeholders choose the right capabilities for their use cases and adopt them optimally.
- Monitor and track Snowflake consumption and costs on a monthly basis, identify cost outliers, recommend optimizations, and present insights and updates to leadership.
- Stay current with Snowflake's weekly feature releases, evaluate new capabilities, and consolidate meaningful enhancements into a monthly view for potential adoption.
- Ensure platform reliability, operational readiness, and continuous improvement through proactive monitoring, documentation, and best-practice enforcement.
- Monitor Snowflake platform health, performance, security posture, and cost metrics; proactively address incidents, user requests, and operational issues.
- Collaborate with data engineering, analytics, and AI teams to review use-case architectures, onboard new workloads, and provide guidance on performance optimization, warehouse strategy, and cost efficiency.
- Design, automate, and maintain Snowflake administration using Infrastructure as Code, enabling self-service capabilities and reducing manual operational effort.
- Partner with Enterprise Security, Cloud Infrastructure, and Governance teams to enforce security standards, manage role hierarchies, and remediate any policy or compliance gaps.
- Analyze and resolve data ingestion and pipeline failures by identifying root causes across upstream sources, file delivery, schema changes, or Snowflake configuration issues.
- Work closely with data engineering teams, external vendors, and downstream users to troubleshoot ingestion issues, coordinate fixes, and restore data pipelines within agreed SLAs.
- Analyze monthly consumption trends, identify cost outliers, recommend optimizations, and evaluate new Snowflake features and capabilities for enterprise adoption.
- 3-6 years of hands-on experience in Snowflake administration, platform engineering, or cloud data platform operations.
- Strong expertise in Snowflake warehouse/compute management, including sizing strategies, workload isolation, scaling patterns, and cost-performance trade-offs.
- Deep understanding of Snowflake internals, architecture, and execution model to support query optimization, performance tuning, and cost efficiency.
- Proven experience implementing Infrastructure as Code (IaC) and automation for platform administration and operational workflows.
- Strong knowledge of Snowflake security concepts, including role-based access control, data sharing, masking policies, and secure data access patterns.
- Hands-on experience with Snowflake serverless concepts and the ability to determine when and where serverless features should be applied.
- Hands-on experience monitoring and supporting data ingestion pipelines, with the ability to troubleshoot and resolve ingestion failures across multiple failure scenarios.
- Experience collaborating with vendors, upstream data providers, and downstream consumers to ensure reliable data ingestion and availability.
- Solid understanding of Snowflake storage concepts and the ability to choose appropriate storage and optimization techniques at the table and schema level.
- Good working knowledge of Snowflake AI services and Cortex, with the ability to guide teams on optimal usage patterns.
- Strong cost-management mindset, with experience in tracking, analyzing, and optimizing cloud data platform spend.
- Ability to collaborate effectively with multiple stakeholders, translate requirements into platform solutions, and influence best practices.
- Strong analytical, documentation, and communication skills, with the ability to present technical insights to both engineering teams and leadership.