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Snowflake is seeking an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe, a high-growth SaaS observability platform built on the Snowflake AI Data Cloud. This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success.
You will lead structured implementations for enterprise customers from kickoff through initial production readiness. Key responsibilities include designing and configuring telemetry ingestion pipelines across logs, metrics, and traces; working hands-on with OpenTelemetry instrumentation and collectors; migrating existing observability environments (Splunk, ELK, cloud-native monitoring tools) into Observe; and configuring datasets, dashboards, alerts, and core observability assets aligned to customer use cases.
You'll establish implementation plans and success criteria in partnership with customers, deliver practical guidance that enables customer self-sufficiency, identify technical risks and architectural gaps early, and capture implementation patterns and best practices to improve consistency across the team. Close collaboration with Observability Engineers, Architects, Support, Product, and Engineering teams ensures smooth transitions and ongoing success.
Required qualifications include 5+ years in customer-facing technical roles (implementation engineer, solutions architect, technical consultant, or SRE); strong hands-on experience with observability platforms and telemetry pipelines; practical experience with OpenTelemetry; experience with commercial or open-source observability solutions (Splunk, ELK, Datadog, New Relic, Dynatrace, Grafana); solid understanding of logs, metrics, and traces; experience in cloud environments (AWS, GCP, Azure); and ability to work directly with technical customer teams and communicate clearly at multiple levels.
Nice-to-have skills include experience migrating customers from Splunk or ELK, SRE/DevOps/platform engineering background, familiarity with Kubernetes and cloud-native tooling, and experience creating implementation templates and enablement content.
