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Snowflake

Solutions Architect

Snowflake

Solutions 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.

Posted 9/3/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $160,000 - $210,000 per yearWebsite

Core Competencies

Role fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
AWSAzureGoogle 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