Snowflake
Implementation Engineer, Observe
About this role
Snowflake seeks an Implementation Engineer to lead enterprise customer deployments of Observe, their AI-powered observability platform built on the Snowflake Data Cloud. You'll design telemetry pipelines, migrate customers from legacy monitoring tools, and establish production-ready observability foundations that accelerate time-to-value and drive long-term success.
What you'll do
- Lead structured implementations for enterprise customers from kickoff through production readiness
- Design and configure telemetry ingestion pipelines for logs, metrics, and traces with parsing, enrichment, and routing
- Work hands-on with OpenTelemetry instrumentation and collectors to help customers adopt vendor-neutral standards
- Migrate and modernize existing observability environments (Splunk, ELK, cloud-native tools) into Observe
- Configure datasets, dashboards, alerts, and observability assets aligned to customer use cases
- Identify technical risks and data quality issues early, then proactively address them with customers
What they're looking for
- Observability platform architecture and telemetry pipeline design
- OpenTelemetry instrumentation, collectors, and exporters
- Experience with commercial/open-source observability tools (Splunk, ELK, Datadog, New Relic, Dynatrace, Grafana)
- Logs, metrics, traces data modeling and scale tradeoffs
- Cloud environments (AWS, GCP, Azure) and modern application architectures
- Kubernetes and containerized workloads
- Customer-facing technical communication and problem-solving
- SRE, DevOps, or platform engineering practices
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Snowflake
Snowflake builds a cloud data platform with marketplace capabilities, analytics infrastructure, and AI-powered data solutions, supported by robust security and streaming systems. The company is hiring full-stack engineers, analytics engineers, solution engineers, security-focused software engineers, and principal engineers to enhance its platform and infrastructure.
- Website
- snowflake.com
Likely interview questions
- Walk us through a recent observability migration project—what were the biggest challenges migrating from your previous platform, and how would you approach a similar Splunk-to-Observe transition?
- Describe your experience designing telemetry pipelines at scale. How do you balance data ingestion volume, latency, and cost when configuring parsing and enrichment?