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Partner Solutions Architect (Mexico) at Datadog - ApplyBlast

Partner Solutions Architect (Mexico)

Datadog

4 months ago

4.0 on Glassdoor

Mexico City, Mexico

Hybrid

Full Time

Senior

0 applicants

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About this role

The Partner Solution Architect acts as a trusted technical advisor within Datadog's Channels & Alliances segment, focusing on enabling partner technical resources and driving joint success initiatives. This role involves collaborating on cloud migration and DevOps transformation projects, advocating for partner needs internally, and curating best practices for platform adoption. The position requires deep expertise in observability, public clouds, and containerization to support large-scale technical initiatives.

Responsibilities

Onboard and enable partner technical resources through training and certification programs
Collaborate on joint business planning to align Datadog capabilities with partner offerings
Support partner teams in cloud migration and DevOps transformation initiatives
Advocate for partner technical concerns to internal product and engineering teams
Curate and evolve best practices for Datadog platform adoption and success

Skills

Qualifications

10-15 years of experience in technical or partner-facing rolesHands-on experience with IT Development and OperationsProficiency in containerization technologies like Kubernetes or DockerExperience with public cloud platforms including AWS, Azure, or GCP

About Datadog

datadoghq.com

Headquarters

New York, New York, United States

Company Size

1001-5000 employees

Founded

2010

View Profile

Datadog is a SaaS monitoring and observability platform that helps teams see inside infrastructure, applications, logs, and user experience across cloud-scale environments. It ingests metrics, traces, and logs from hundreds of integrations and provides unified dashboards, alerts, APM, log management, synthetics, and security monitoring. Developers, operations, and security teams use Datadog to detect, troubleshoot, and optimize performance and reliability for modern distributed systems.