Implementation Engineer

🕒 August 21

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🛠️ Implementation Specialist

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Lead structured implementations for enterprise customers, from kickoff through initial production readiness • Design and configure telemetry ingestion pipelines across logs, metrics, and traces, including parsing, enrichment, normalisation, and routing • Work hands-on with OpenTelemetry instrumentation and collectors, helping customers adopt modern, vendor-neutral observability standards • Migrate and modernise existing observability environments, such as Splunk, ELK, and cloud-native monitoring tools, into Observe • Configure datasets, dashboards, alerts, and core observability assets aligned to customer use cases • Establish implementation plans, milestones, and success criteria in partnership with customers • Deliver practical, hands-on guidance that enables customers to become self-sufficient on the platform • Identify technical risks, data quality issues, or architectural gaps early and proactively address them • Capture implementation patterns, best practices, and reusable assets to improve consistency and scalability across the team • Collaborate closely with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success

🎯 Requirements

• 5+ years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE • Strong hands-on experience with observability platforms and telemetry pipelines • Practical experience with OpenTelemetry (instrumentation, collectors, exporters, pipelines) • Experience working with one or more commercial or open-source observability solutions (e.g., Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, Grafana) • Solid understanding of logs, metrics, and traces, including data modeling and tradeoffs at scale • Experience working in cloud environments (AWS, GCP, Azure) and modern application architectures • Ability to work directly with technical customer teams and communicate clearly at multiple levels • Strong problem-solving skills and comfort working through ambiguity in fast-moving environments • Familiarity with Kubernetes, containerized workloads, and cloud-native tooling • Experience creating implementation templates, runbooks, or enablement content • Exposure to multiple observability vendors or hybrid observability environments