engineering
Posted 6 days agoSenior Developer Advocate - Data Observability
at Datadoghq
United StatesHybrid
Responsibilities
- 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
- Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners Who You Are:
Requirements
- experience in one or more areas of modern data engineering, and you use that
- 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.
- 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 in advocacy, developer relations, or equivalent
- experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
- Familiarity with modern cloud infrastructure and container-based systems
- Experience supporting data pipelines for ML or AI systems
- 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.
Experience
- experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems 3+ years of
Benefits
- A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces Bonus points: •
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- 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.
- 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: $172,000 — $215,000 USD
Additional details
- 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
- 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)
- 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 to provide clear context to both the community and internal teams.
- You are not expected to be an expert in every area below.
- 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