Solutions Architect, Observe

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

Snowflake's Observe business unit delivers AI-powered observability at enterprise scale, unifying logs, metrics, and traces across petabytes of telemetry data into a single, trusted, Snowflake-native platform.

As a Solutions Architect, you will be the architectural foundation of the Observe post-sales practice. You will bring deep platform and observability domain expertise to design durable, scalable architectures, ensuring every enterprise implementation starts with a sound technical foundation.

Responsibilities:

• Take an active role in technical discovery on SA-attached engagements, working in tandem with the Implementation Engineer to assess existing telemetry, infrastructure, data volumes, tooling landscape, and operational requirements
• Design end-to-end observability architectures on Observe, covering telemetry ingestion, pipeline topology, data modeling, enrichment and normalization strategies, alerting design, and long-term retention
• Define the implementation approach and architecture blueprint that Implementation Engineering teams execute against
• Validate that proposed configurations, pipelines, and data models will meet production-scale requirements before execution begins
• Advise customers on OpenTelemetry adoption strategies
• Have an active role in the architecture and planning phases of enterprise engagements, working in tandem with the IE from kickoff through handoff to dedicated IE team(s)
• Produce clear, high-quality handoff artifacts (e.g. reference architectures, design decision records, implementation plans, and configuration standards)
• Remain available to Implementation teams during execution for architectural blockers, scope changes, or decisions requiring architectural judgment
• Conduct formal go-live architecture reviews to validate that the implemented solution matches the designed architecture and is production-ready
• Design the target architecture and phased cutover strategy for complex migrations from existing observability platforms (e.g., Splunk, ELK, Datadog, Dynatrace, New Relic) onto Observe, minimizing disruption to production operations
• Identify architectural gaps, data quality risks, and technical debt in existing environments; design clean, scalable replacements where appropriate
• Partner with the Director of Implementation Engineering to develop and own internal reference architectures, design documents, runbooks, and implementation standards
• Build and maintain field demo infrastructure , realistic, production-grade environments that pre-sales and IE teams use to show customers what a well-architected Observe deployment looks like
• Capture reusable patterns from field engagements and translate them into assets the broader IE team can apply consistently
• Serve as a technical authority on complex or novel customer scenarios
• Act as a force multiplier for the IE team; set the technical example, structure, and tone on an engagement, and mentor and level up junior Implementation Engineers rather than taking over their work
• Contribute beyond core Observe architecture where the engagement calls for it; integration with adjacent solutions and technologies, process (re-)engineering, and AI refactoring
• Contribute field insights back to Product and Engineering to influence the platform roadmap

Requirements:

• 8+ years in customer-facing technical roles; Solutions Architect, Staff/Principal engineer, observability engineer, or SRE; with a demonstrated shift from hands-on execution to architecture-level thinking
• Deep expertise in observability platforms and telemetry systems at scale, including data modeling tradeoffs across logs, metrics, and traces
• Strong hands-on experience with OpenTelemetry: instrumentation strategies, collector configuration, exporters, and multi-signal pipeline design
• Proven ability to design or lead migrations from commercial observability platforms (Splunk, ELK, Datadog, New Relic, Dynatrace) to modern alternatives
• Experience assessing complex enterprise environments and producing architectural designs that are durable, scalable, and practical to implement
• Solid understanding of cloud platforms (AWS, GCP, Azure), containerized workloads, and Kubernetes-based environments
• Strong communication skills; credible with both hands-on engineering teams and senior technical leadership
• Experience producing high-quality technical documentation: architecture diagrams, design decision records, runbooks, implementation plans
• Exposure to AI-assisted observability or AIOps

Nice to Have:

• Background in SRE, platform engineering, or DevOps with firsthand experience operating production observability at scale
• Experience authoring internal standards, reference architectures, and enablement content for post-sales or pre-sales teams
• Experience building or maintaining demo or lab environments for internal field teams
• Familiarity with Kubernetes-native observability patterns and cloud-native monitoring tooling
• Experience working in or alongside professional services organizations
• Experience working directly with Observe.

Key Performance Indicators:

• Time-to-first-value for new Observe customers
• Customer satisfaction scores (post-engagement NPS/CSAT)
• On-time and on-scope delivery rate
• Escalation rate and time to resolution
• Observe consumption growth attributable to successful implementations