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Senior Developer Advocate - Data Observability

16 hours, 58 minutes ago
United States
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Spark Databricks Datadog dbt GCP Go Java Kafka Python Scala Snowflake SQL
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Datadog

Datadog

Datadog is the go-to monitoring platform for cloud applications, providing a complete suite of services to ensure optimal performance and user satisfaction.

IT Services
5K-10K
Founded 2010
View All Jobs 25

Description

  • Act as a subject matter expert on data observability for Datadog’s advocacy and engineering teams.
  • Create technical content and demos across formats such as public speaking, blogging, documentation, webinars, open source, and research reports.
  • Partner with and coach internal product and customer engineering teams on effective public communication and presentations.
  • Provide product feedback by surfacing bugs and suggesting product enhancements.
  • Identify and pursue events, programs, and community-focused initiatives that build trust with practitioners.
  • Support Datadog’s community of engineers by enabling real-world problem solving around data observability.
  • Collaborate across teams to own projects from beginning to end.
  • Translate hands-on data systems experience into clear context for both external audiences and internal stakeholders.

Requirements

  • 10+ years of experience as a software developer, data engineer, SRE, or similar practitioner building and maintaining production systems.
  • 3+ years of experience in advocacy, developer relations, or equivalent technical audience engagement through content, talks, workshops, webinars, videos, or open-source contributions.
  • Publicly available writing samples, demos, repositories, or recordings of technical presentations.
  • Deep hands-on experience in one or more areas of modern data engineering, with working familiarity across multiple adjacent domains.
  • Experience building, operating, or supporting production data pipelines with distributed systems such as Apache Spark or Databricks.
  • Hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, and SQL-based analysis.
  • Understanding of streaming and event-driven systems such as Kafka or similar platforms, including lag, delivery semantics, and downstream impacts.
  • Familiarity with data quality, lineage, metadata, or transformation tooling such as dbt or OpenLineage.
  • Comfort working in at least one programming language commonly used in data systems, such as Python, Scala, Java, or Go, plus strong SQL skills.
  • Familiarity with modern cloud infrastructure and container-based systems.
  • Bonus: experience supporting data pipelines for ML or AI systems.
  • Bonus: meaningful open-source or shared technical tooling contributions.

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Competitive salary with a reasonably estimated annual range of $194,000 to $237,000 USD.
  • May include variable compensation.
  • Healthcare, dental, parental planning, and mental health benefits.
  • 401(k) plan with company match.
  • Paid time off.
  • Fitness reimbursements.
  • Continuous professional development, product training, and career pathing.
  • Intradepartmental mentor and buddy program for networking.
  • Inclusive company culture with access to Community Guilds and Inclusion Talks.
  • Free global mental health benefits for employees and dependents age 6+.
  • Discounted employee stock purchase plan.

Interested in this position?

Apply directly on the company website

Apply Now

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