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Senior Developer Advocate - Data Observability

Datadog - California, USA, Remote; Colorado, USA, Remote; Illinois, USA, Remote; New York, USA, Remote; Washington, USA, Remote

Posted Mar 26, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

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About this role

Senior Developer Advocate - Data Observability California, USA, Remote; Colorado, USA, Remote; Illinois, USA, Remote; New York, USA, Remote; Washington, USA, Remote Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape . What You'll Do: Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do Contribute to the product through feedback (bugs or product enhancements suggestions) Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners Who You Are: You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the

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Apply link verified; last checked Jun 13, 2026.

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