Senior Developer Advocate Data Observability

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end facilitating collaboration and enabling Datadogs 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 Youll 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 Datadogs 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 community and internal teams.

You are not expected to be an expert in every area below. Instead you bring depth in some and working familiarity across many and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built operated or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks and understand common failure modes performance tradeoffs and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery including schema design data modeling SQL-based analysis and reasoning about performance cost and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms including producer and consumer behavior lag delivery semantics and how streaming issues propagate into downstream datasets and analytics.
• Data quality lineage and metadata concepts: You are familiar with how data teams reason about data quality upstream and downstream impact and change management and have experience working with data lineage metadata or transformation tooling (for example dbt OpenLineage or related ecosystems) or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python Scala Java or Go) along with strong SQL skills and you can move fluidly between code queries and notebooks when exploring or demonstrating data systems.

You also have:

• 10 years of experience as a software developer data engineer SRE or other practitioner building and maintaining production systems
• 3 years of experience in advocacy developer relations or equivalent experience reaching technical audiences through written content conference talks workshops webinars videos or open-source contributions
• Publicly available writing samples demos repositories or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies tools and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development product training and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks our Internal panel discussions
• Free global mental health benefits for employees and dependents age 6
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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