Solutions Architect

🔥 19 hours ago

🇺🇸 United States – Remote

💵 $160k - $210k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 0%

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 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

🎯 Requirements

• 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

• 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