Senior Product Solutions Architect - Logs

Datadog Datadog · Enterprise · Amsterdam, Netherlands +4 · Product Solutions Architecture

Datadog is seeking a Senior Product Solutions Architect for their Logs product family, focusing on enabling customer adoption, architecting solutions, and providing technical expertise. The role involves working with customers, product teams, and field teams to drive best practices, create reference architectures, and build training materials. The ideal candidate has strong experience with Kubernetes, cloud infrastructure, and observability tools, and can act as a trusted advisor to customers and product management.

What you'd actually do

  1. Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
  2. Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
  3. Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
  4. Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
  5. Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers

Skills

Required

  • Kubernetes
  • cloud infrastructure fundamentals
  • Security, Governance, and Compliance requirements
  • Python
  • Rust
  • JSON
  • YAML
  • observability market domain
  • listening and consultative skills

Nice to have

  • 5+ years experience working as an Architect or Consultant
  • Datadog and/or other observability tools in an SRE or DevOps capacity
  • deploying solutions in production environments at scale
  • Splunk
  • Elastic
  • Opensearch
  • SumoLogic
  • Vector
  • Cribl
  • Quickwit

What the JD emphasized

  • production-ready architectures
  • identify opportunities to simplify, optimize, and standardize deployment patterns
  • Trusted Advisor to Product Management
  • field experience
  • operational pain points
  • solve hard problems