GCP Data Architect

Need Candidate LinkedIn

Key Responsibilities:

• Install, configure, and upgrade Google AgentSpace and related agents (Ops Agent, Logging Agent, Monitoring Agent) across Linux/Windows systems and container environments.
• Design and implement automation for agent and connector deployment using scripts, orchestration tools (e.g., Ansible, Terraform), or GCP-native solutions.
• Integrate Google Cloud Monitoring & Logging with third-party tools such as:
• ServiceNow (for alerts/incidents)
• Splunk or Elastic (for log ingestion)
• Prometheus/Grafana or Dynatrace/AppDynamics (for metric visualization)
• Install and configure connectors/adapters for third-party observability and incident management platforms.
• Develop and optimize custom queries (e.g., Monitoring Query Language - MQL, Logging queries) to extract meaningful insights from telemetry data.
• Create and maintain dashboards and reports for monitoring, SLA tracking, system health, and compliance.
• Collaborate with SRE, CloudOps, and application teams to enable alerting, anomaly detection, and correlation across systems.
• Troubleshoot agent or connector-related issues, including telemetry gaps, broken integrations, or data latency.
• Maintain configuration baselines, deployment templates, and operational documentation.
• Coordinate with Google Cloud support and third-party vendors for issue resolution, RCA, and product enhancements.

Required Skills & Qualifications:

• 5–7+ years of hands-on experience in monitoring agent and connector deployment in enterprise/cloud environments.
• In-depth knowledge of Google Cloud Operations Suite (Monitoring, Logging, Trace, Profiler).
• Experience in:
• Installing and managing Ops Agent, Logging Agents
• Deploying connectors to third-party tools (ServiceNow, Splunk, Dynatrace, etc.)
• Writing Monitoring Query Language (MQL) and Logging queries
• Hands-on with query building and custom dashboards for visualization and analytics.
• Strong scripting skills (Bash, Python, PowerShell).
• Familiarity with Infrastructure as Code (IaC) tools (Terraform, Ansible).
• Exposure to Kubernetes (GKE), Compute Engine, and hybrid environments.
• Good understanding of telemetry pipelines, log forwarding, and metric ingestion.
• Experience with reporting tools like Looker, Grafana, or Google Data Studio is a plus.
• Google Cloud Certification (Associate/Professional DevOps or Cloud Engineer) is preferred.