Partner Solutions Architect

About the role

The Partner Solutions Architect acts as a technical expert aligned to the Channels and Alliances business segment. This role supports technical initiatives for partners, including cloud migration, application modernization, and DevOps transformation, while serving as a trusted technical advisor. The position involves collaborating with internal teams and partners to drive success and ensure the effective adoption of Datadog features.

Responsibilities

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value
• Advocate on behalf of Partners technical concerns with Datadog internal teams and personnel
• Analyze and understand Partner service offerings and provide recommendations to enhance the value of those services
• Collaborate with product management, engineering and technical services teams to help identify and prioritize new features
• Continuously help curate and evolve lead and best practices for Datadog platform adoption

Required skills

• IT Development
• Operations
• Observability
• Public Cloud
• Containerization
• Python
• Javascript
• Ruby
• Perl
• PHP
• Go
• Terraform
• Ansible
• Puppet
• Chef

Nice to have

• Channel partner support
• Datadog
• Root-cause-analysis
• Troubleshooting
• Debugging

Qualifications

• 10-15 years of experience in a customer or partner facing technical role

Benefits

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program
• New hire stock equity
• Employee stock purchase plan
• Continuous professional development
• Product training
• Career pathing
• Community Guilds
• Inclusion Talks

About the Company

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.