Datadog: Senior Developer Advocate - Data Observability

Position Overview

The role in focus is for a Senior Developer Advocate at Datadog, a leading company in the observability and security space. This position is full-time and is open for applicants from anywhere in the world. The Senior Developer Advocate plays a vital leadership role, acting as a technical mentor and championing the company's initiatives related to data observability. This not only involves ownership of various projects but also encourages collaboration within a vibrant community to address real-world problems using Datadog's technologies and tools.

Key Responsibilities

The selected candidate will have a variety of responsibilities, including:

• Acting as a subject matter expert in data observability within the advocacy and engineering teams at Datadog.
• Creating diverse content types to enhance Datadog's reputation in data engineering and observability, which may include demos, public speaking engagements, blogs, documentation, webinars, and research reports.
• Collaborating with internal product and customer engineering teams to help refine their public communication and presentation skills.
• Providing constructive feedback to products in the form of bug reports or enhancement suggestions.
• Identifying opportunities for events and programs that foster community trust and engagement.

Ideal Candidate Profile

Datadog seeks a highly experienced technical expert who enjoys aiding data practitioners in operating and optimizing data systems. The ideal candidate should demonstrate deep, hands-on experience across several modern data engineering domains. They do not need to possess exhaustive expertise in every area but should have sufficient depth in a few areas along with a working knowledge of many to craft coherent operational narratives.

Required Skills

The following skills are essential:

• Strong background in data engineering and processing systems, with practical experience building and managing production data pipelines using distributed processing frameworks such as Apache Spark or Databricks.
• Familiarity with analytics platforms such as Snowflake and BigQuery, including data modeling and SQL-based analysis with a focus on performance and cost considerations.
• Understanding of streaming and event-driven data systems, particularly how data flows in platforms like Kafka.
• Experience with data quality, lineage, and metadata concepts, along with familiarity in using tools for data transformation and analysis.
• Programming skills in languages such as Python, Scala, Java, or Go, coupled with strong SQL capabilities for engaging with data systems effectively.

Additional Qualifications

In addition to the foundational skills, the job also seeks candidates with the following qualifications:

• At least 10 years of experience in relevant fields like software development, data engineering, or Site Reliability Engineering (SRE).
• A minimum of 3 years of experience in advocacy or developer relations, showcasing the ability to effectively communicate with technical audiences through various mediums such as write-ups, conferences, or workshops.
• Publicly available samples of relevant work, including any writing, demos, or recordings that reflect technical presentations.
• Understanding of modern cloud infrastructures and container-based systems.
• A passion for self-driven learning and an eagerness to explore new technology and problem domains.

Bonus Points

Candidates who possess experience supporting data pipelines for machine learning or artificial intelligence systems or have made significant contributions to open source projects will be highly favored.

Benefits and Compensation

Datadog does not disclose fixed salary details upfront; however, they offer a competitive compensation structure. According to the job post, the estimated yearly salary for this position ranges approximately from $172,000 to $215,000 USD. Other possible compensatory factors may include equity options (RSUs) and a variable compensation based on skills and qualifications.

Additional benefits and growth opportunities provided by Datadog include:

• Stock options and an employee stock purchase plan (ESPP).
• Continuous professional development along with comprehensive product training.
• A structured mentor and buddy program for fostering in-house networking.
• Inclusive workplace culture with opportunities to participate in community groups and discussions.
• Mental health benefits accessible globally to employees and their dependents aged six and above.
• Competitive global benefits package that may encompass healthcare, dental, parental planning services, fitness reimbursements, paid time off, and contributions to employee retirement plans.

Company Background

Datadog stands as a pioneering observability platform that addresses the complexities of managing technology stacks by offering businesses unified visibility across all their operations. The company is renowned for its AI-assisted mechanisms to streamline issue detection and resolution before they escalate, making it a trusted ally for Fortune 500 companies and emerging AI enterprises. Datadog epitomizes an environment that fosters diversity and encourages applicants from all backgrounds to apply.

This job offer was originally published on weworkremotely.com