2 months ago
Base Salary
$160k - $210k/yr
Responsibilities
- Lead structured enterprise customer implementations from kickoff through initial production readiness.
- Design and configure telemetry ingestion pipelines for logs, metrics, and traces, including parsing, enrichment, normalization, and routing.
- Implement OpenTelemetry instrumentation and collectors and help customers adopt vendor-neutral observability standards.
- Migrate and modernize observability environments such as Splunk, ELK, and cloud-native monitoring tools into Observe.
- Configure datasets, dashboards, alerts, and other observability assets aligned with customer use cases.
- Establish implementation plans, milestones, and success criteria with customers.
- Provide hands-on guidance and enablement so customers become self-sufficient on the platform.
- Identify and proactively address technical risks, data quality issues, and architectural gaps.
- Document implementation patterns, best practices, templates, runbooks, and reusable assets.
- Collaborate with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success.
Requirements
- At least 5 years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE.
- Strong hands-on experience with observability platforms and telemetry pipelines.
- Practical experience with OpenTelemetry instrumentation, collectors, exporters, and pipelines.
- Experience with one or more observability solutions, including Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, or Grafana.
- Solid understanding of logs, metrics, and traces, including data modeling and tradeoffs at scale.
- Experience working in AWS, GCP, or Azure environments and modern application architectures.
- Ability to work directly with technical customer teams and communicate clearly at multiple levels.
- Strong problem-solving skills and comfort working through ambiguity in fast-moving environments.
- Experience migrating customers from Splunk or ELK, or a background in SRE, DevOps, or platform engineering, is preferred.
- Familiarity with Kubernetes, containerized workloads, cloud-native tooling, implementation templates, runbooks, enablement content, or hybrid observability environments is preferred.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.