Principal Partner Solutions Architect (Public Sector - Fed) (Virginia)
$228.65k - $268.6kDatadog
- Observability: Datadog, Splunk, AppD, New Relic, or Dynatrace
The Team
Datadog is an enterprise SaaS company featured in Forbes Cloud 100, Deloitte's Fast 500 Technology list, and Forrester's Intelligence Application and Service Monitoring Wave as a leader. Our team works with a best‑of‑breed product that solves real problems for our customers and partners.
We are Datadog's in‑house product experts and strategic architects of the partner ecosystem. The Partner Technical Solutions team drives Datadog's worldwide growth by shaping how our partners go to market, build services, and create lasting technical differentiation for their customers. We work at the intersection of product strategy, technical depth, and business outcomes – defining the frameworks, programs, and practices that determine how the partner ecosystem scales.
Partner Technical Solutions is a growing global team that operates with high autonomy, collaborates constantly across functions, and sets the standard for what technical partnership looks like at Datadog.
The Opportunity
This role is built for someone who has already proven they can operate at the intersection of deep technical authority and executive influence – as comfortable presenting observability architecture to a federal agency CISO as they are rolling up their sleeves to get hands‑on with a partner's most complex deployment challenges.
Aligned to our Channels & Alliances business segment, the Principal PSA will report to the Head of North America Partner Solutions Architecture. They are accountable for the technical success of our most strategically important federal and public sector partners – a trusted advisor, a force multiplier, and the definitive Datadog expert in every room they enter.
Responsibilities
- Own the senior technical relationship with a portfolio of high‑value federal and public sector partners, serving as a strategic advisor to partner CTO, CISO, and VP‑level stakeholders.
- Lead joint technical strategy sessions and executive business reviews, ensuring alignment between Datadog and partner technical roadmaps at the highest levels of the organization.
- Architect and lead technically complex partner initiatives including federal cloud migrations, zero‑trust observability frameworks, FedRAMP‑aligned deployments, and large‑scale DevSecOps transformations.
- Design and deliver partner enablement programs – workshops, certifications, and technical deep‑dives – that measurably elevate partner capabilities.
- 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, etc.) with Datadog internal teams and personnel, helping to bring those concerns to resolution.
- Serve as the authoritative voice of federal partner needs with Datadog's Product, Engineering, and Technical Services teams – driving prioritization decisions that shape the platform roadmap.
- Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
Requirements
- 15+ years of experience in a customer‑ or partner‑facing technical role, with a demonstrated record of operating at both the executive and deep‑technical levels simultaneously.
- Proven track record building and sustaining C‑suite relationships in federal or public sector environments.
- Deep familiarity with the federal technology landscape: procurement cycles, compliance frameworks (FedRAMP, FISMA, IL5), and the ecosystem of FSIs, GSIs, and channel partners operating in the public sector.
- A self‑starter, tech‑savvy professional with exceptional business acumen; the ability to articulate Datadog value from the server room to the boardroom – and every level in between.
- Fluency in English required.
- Desired hands‑on experience in five or more of the following areas:
- Observability: Datadog, Splunk, AppD, New Relic, or Dynatrace
- Public Cloud: AWS GovCloud, Azure Government, GCP
- Containerization: Docker, Kubernetes, OpenShift
- Dev/Scripting: Python, Go, JavaScript, Ruby, Bash
- Config Mgmt: Terraform, Ansible, Puppet, Chef
- CI/CD & DevSecOps: Jenkins, GitLab, GitHub Actions
Additional Considerations
- Previous experience in a senior technical role at a federal systems integrator, defense contractor, or public sector‑focused ISV.
- Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM).
- Previous experience building or scaling partner technical programs.
- Previous experience with root‑cause‑analysis, troubleshooting, debugging.
Benefits
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best‑in‑class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is: $228,650—$268,600 USD.
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.
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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