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Partner Solutions Architect (EMEA)

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Remote from
Spain, Italy
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
23 Nov 2026
Listing views
14
Application actions
1
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AI Summary

The role, at a glance.

Datadog is seeking a Partner Solutions Architect to enable channel partners across Italy and Spain in adopting and delivering the Datadog platform. The role combines cloud and DevOps technical expertise with partner onboarding, training, certification, technical workshops, demonstrations, and proofs of value. The architect will act as a trusted advisor, coordinate with product, engineering, and technical services teams, and help resolve partner technical concerns. Strong hands-on experience in observability, public cloud, containers, automation, or CI/CD is expected, alongside excellent business-facing presentation skills.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, cross-functional technical advisory role requiring broad cloud, observability, and DevOps knowledge. Success depends on independently managing partner initiatives while communicating effectively with technical and business stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$155,000
US market range (per year)$130k–$185k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The annual USD figures are AI-estimated market guidance for a senior partner-facing cloud solutions architect role and are not verified Datadog compensation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you onboard and enable a new systems integrator partner to deliver Datadog services?

I would first assess the partner's service offerings, technical maturity, target customers, and cloud stack. I would then build a phased enablement plan covering platform fundamentals, hands-on labs, certification goals, reference architectures, and supported customer use cases. Regular checkpoints and joint customer engagements would validate readiness and identify gaps.

Describe how you would position observability to a customer undergoing a cloud migration.

I would connect observability to migration risk reduction, service reliability, and faster troubleshooting rather than presenting it as a standalone tool. I would demonstrate unified visibility across infrastructure, applications, logs, and user experience, then define measurable outcomes such as reduced mean time to resolution and improved deployment confidence.

How do you handle a partner escalation involving a technical product limitation or feature request?

I would clarify the business impact, technical context, reproducibility, and urgency with the partner. I would coordinate with the appropriate Datadog support, product, or engineering teams, communicate realistic next steps, and provide a documented workaround where possible. I would also keep the partner updated until the issue is resolved or a clear decision is reached.

What factors would you consider when designing a Datadog proof of value for a partner's end customer?

I would define the customer's priority use cases, success criteria, data sources, integrations, owners, timeline, and required security controls. The proof of value should focus on a small number of high-impact workflows, such as incident investigation, cloud infrastructure monitoring, or application performance analysis, with measurable results at the end.

How have you explained a complex technical solution to both engineering leaders and executive stakeholders?

I tailor the discussion to the audience. For engineers, I use architecture diagrams, integration details, and operational workflows; for executives, I focus on reliability, delivery speed, risk, cost of downtime, and business outcomes. In both cases, I avoid unnecessary jargon and validate that the proposed approach addresses their priorities.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

The Team:

We are Datadog’s in-house product experts. The technical solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

  • 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; partner team enablement workshops; assessment, advice, and coaching on lead practices;
  • Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
  • Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
  • Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
  • Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

  • Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
  • A demonstrable track-record and never-ending passion for learning;
  • A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
  • Confident presentation skills;
  • Must be a current EU resident
  • Desired hands-on experience in two or more of the following areas:
    • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
    • Public Cloud: AWS, Azure, GCP, or Alibaba
    • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
    • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
    • Config Mgmt: Terraform, Ansible, Puppet, Chef
    • CI / CD: Jenkins, Gitlab

Bonus Points:

  • Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
  • Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
  • Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply:

  • Generous and competitive global and US benefits
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Product training to develop an in-depth understanding of our product and space
  • Best in breed onboarding
  • Internal mentor and buddy program cross-departmentally
  • Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.


About Datadog:

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. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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