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Solutions Architect
SnowflakeSolutions Architect designing scalable telemetry architectures and migrations for Snowflake’s AI-powered Observe observability platform. Guiding Implementation Engineering teams through enterprise discovery, delivery, and go-live.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and implementing observability architectures, with a strong focus on OpenTelemetry and migration strategies from legacy systems. Capable of leading technical discovery, producing architectural documentation, and mentoring engineering teams in complex customer scenarios.
Highest-signal resume keywords
OpenTelemetry ExpertiseObservability Architecture DesignMigration Strategy DevelopmentCloud Platform ProficiencyTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingPipeline DesignConfiguration ValidationArchitecture BlueprintingTelemetry SystemsAI-Assisted ObservabilityImplementation PlanningArchitecture Diagram ProductionScalable Architecture DesignMulti-Signal Pipeline Design
Soft Skills
Strong Communication SkillsMentoring
Tools & Technologies
AWSGCPAzureKubernetesSplunkELKDatadogDynatraceNew Relic
Industry Keywords
ObservabilityTelemetryImplementation EngineeringCustomer-Facing Technical RolesAIOps
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformKubernetesSplunk
About the role
Key responsibilities & impact- Participate in technical discovery to assess telemetry, infrastructure, data volumes, tooling, and operational requirements
- Design end-to-end Observe observability architectures covering ingestion, pipeline topology, data modeling, enrichment, normalization, alerting, and retention
- Define implementation approaches and architecture blueprints for Implementation Engineering teams
- Validate configurations, pipelines, and data models against production-scale requirements
- Advise customers on OpenTelemetry adoption strategies
- Lead architecture and planning from kickoff through handoff to dedicated Implementation Engineer teams
- Produce reference architectures, design decision records, implementation plans, and configuration standards
- Support Implementation teams with architectural blockers, scope changes, and architecture decisions
- Conduct go-live architecture reviews for production readiness
- Design target architectures and phased cutover strategies for migrations from Splunk, ELK, Datadog, Dynatrace, and New Relic
- Identify architectural gaps, data quality risks, and technical debt, and design scalable replacements
- Develop internal reference architectures, design documents, runbooks, and implementation standards
- Build and maintain production-grade field demo infrastructure
- Capture reusable field patterns and create assets for the broader Implementation Engineering team
- Serve as technical authority on complex customer scenarios and mentor junior Implementation Engineers
- Contribute to adjacent-solution integrations, process re-engineering, and AI refactoring
- Share field insights with Product and Engineering to influence the platform roadmap
Requirements
What you’ll need- 8+ years in customer-facing technical roles, such as Solutions Architect, Staff/Principal Engineer, observability engineer, or SRE
- Demonstrated shift from hands-on execution to architecture-level thinking
- Deep expertise in observability platforms and telemetry systems at scale
- Knowledge of data modeling tradeoffs across logs, metrics, and traces
- Strong hands-on experience with OpenTelemetry, including instrumentation strategies, collector configuration, exporters, and multi-signal pipeline design
- Proven ability to design or lead migrations from Splunk, ELK, Datadog, New Relic, or Dynatrace to modern alternatives
- Experience assessing complex enterprise environments and producing durable, scalable, practical architectural designs
- Solid understanding of AWS, GCP, Azure, containerized workloads, and Kubernetes-based environments
- Strong communication skills with engineering teams and senior technical leadership
- Experience producing architecture diagrams, design decision records, runbooks, and implementation plans
- Exposure to AI-assisted observability or AIOps
Benefits
Comp & perks- Medical, dental, vision, life, and disability insurance
- 401(k) retirement plan
- Flexible spending and health savings account
- At least 12 paid holidays
- Paid time off
- Parental leave
- Employee assistance program
- Bonus plan eligibility
- Equity plan eligibility