S
Snowflake
Solutions Architect (Observe)
Skills
Google Cloud PlatformDatadogSplunkAIAWSKubernetesAzure
1 month ago
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Important information
Contract type:
Permanent
Salary:
$160,000 – $210,000 / year
Location:
United States
Work mode:
Onsite
Published on:
13 September 2026
What they need
- Solutions Architects are the architectural foundation of the Observe post-sales practice
- They bring deep platform and observability domain expertise to design durable, scalable architectures, ensuring every enterprise implementation starts with a sound technical foundation that Implementation Engineers (IEs) execute with confidence and customers build on for years
- By owning the architecture layer, and establishing shared standards that demonstrate what great looks like, Solutions Architects multiply the effectiveness of the entire go-to-market team
- This role is ideal for a technically exceptional practitioner who has moved beyond execution into architecture
- Someone who can assess a complex enterprise environment, design an observability system built to scale, document it with precision, and hand it off with confidence
- 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
- —-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
Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program- 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
- Experience producing high-quality technical documentation: architecture diagrams, design decision records, runbooks, implementation plans
- 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
- Exposure to AI-assisted observability or AIOps
- Strong hands-on experience with OpenTelemetry: instrumentation strategies, collector configuration, exporters, and multi-signal pipeline design
- Deep expertise in observability platforms and telemetry systems at scale, including data modeling tradeoffs across logs, metrics, and traces
- Experience assessing complex enterprise environments and producing architectural designs that are durable, scalable, and practical to implement
- Proven ability to design or lead migrations from commercial observability platforms (Splunk, ELK, Datadog, New Relic, Dynatrace) to modern alternatives
- 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
- Familiarity with Kubernetes-native observability patterns and cloud-native monitoring tooling
- Experience building or maintaining demo or lab environments for internal field teams
- Experience working in or alongside professional services organizations
- Experience working directly with Observe
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