Datadog Architect

Mandatory Skills :

- Datadog, Cloud & Kubernetes Observability

- Automation & IaC (Terraform, Python/Go/TypeScript)

Key Responsibilities :

Lead enterprise Datadog observability design and delivery across Infrastructure, APM, Logs, RUM, Synthetics, Cloud SIEM, and LLM Observability for hybrid and multi-cloud environments.

What You'll Do :

- Audit existing Datadog setups tagging, integrations, logs, monitors, feature usage and deliver code + cost optimization recommendations.

- Architect metrics/telemetry collection across AWS, Azure, GCP, data platforms (Snowflake, Databricks, data lakes), LLM workloads, and cloud cost monitoring.

- Design monitors, multi-alerts, anomaly/forecast, and composite monitors correlating signals across systems.

- Define tagging standards, retention, and cost-control patterns at scale.

- Build dashboards, SLOs, and Workflow Automation tied to business outcomes.

- Drive migrations from Splunk, New Relic, Dynatrace, ELK, or Prometheus/Grafana.

- Mentor engineers; shape reference architectures.

What You'll Bring :

- 8+ years in observability, SRE, or platform engineering; 4+ as senior/lead/architect.

- 3+ years hands-on Datadog (Infra, APM, Logs + 2 of : RUM, Synthetics, Cloud SIEM, CSPM, LLM Observability).

- Proven ability to audit Datadog environments and deliver code + cost recommendations.

- Strong metrics collection across Azure/GCP/AWS, data platforms (Snowflake/Databricks), LLM Observability, and cloud cost monitoring.

- Hands-on with monitors, multi-alerts, anomaly/forecast, and composite monitors.

- Kubernetes, OpenTelemetry, Terraform, and Python/Go/TypeScript.

- Strong communication; pre-sales experience a plus.

Nice to Have :

- Datadog certifications, GenAI/LLM architectures, SLO practice, observability CoE experience.