Solutions Architect

🕒 il y a 15 jours

🇺🇸 États-Unis – Télétravail

💵 $160 000 - $210 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

👻 Score fantôme 0%

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🗣️🇺🇸🇬🇧 Anglais requis

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Snowflake

5001 - 10000 employés

Fondée en 2012

☁️ SaaS

🏢 Entreprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake est une plateforme de données cloud et un entrepôt de données en tant que service. Elle permet aux organisations de stocker, traiter, analyser et partager de grands volumes de données structurées et semi-structurées sur plusieurs clouds, avec une décomposition scalable des capacités de calcul et de stockage, une sécurité intégrée et des capacités de partage de données, ainsi qu'un support pour les charges de travail analytiques et d'apprentissage automatique. Snowflake est proposé en tant que SaaS géré pour les clients entreprises et est principalement commercialisé et vendu en tant que produit B2B.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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