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Manager I, Engineering - Observability Pipelines
Datadog
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Remote Eligibility
On-site
Domain
Architecture & design
State
New York
City
New York City
Job Description
Posted on:
March 19, 2025
Primary NIST Speciality
Oversee and Govern
NIST Sub-speciality
Cybersecurity Management
Seniority
Senior
Salary ($K)
-
Summary and company overview
Summary Information About the Role
As an Engineering Manager for Observability Pipelines, you will lead the team responsible for ingesting, transforming and delivering data within Observability Pipelines. Your team will design, build and maintain high-scale, high-performance data processing systems that give customers full control over their observability data. You will work closely with engineering, product and design stakeholders to drive innovation while ensuring system scalability, reliability and performance. You will also foster a high-performing team culture that encourages mentorship, technical excellence and collaboration.
Company Overview
Observability Pipelines allows organizations to collect, process and route logs within their own infrastructure before sending them to downstream integrations. The Observability Pipelines Worker runs inside customer infrastructure, aggregating, transforming, and routing logs. This ensures data redaction, pre-processing, and routing can happen before any data leaves the environment. The Observability Pipelines UI provides a control plane to manage Workers, build and edit pipelines, and deploy changes. It also enables health monitoring of pipelines to ensure operational reliability.
Responsibilities
- Lead, mentor and grow a team of 5–7 engineers responsible for ingestion, transformation and delivery of data in Observability Pipelines.
- Define and execute the technical roadmap, ensuring Observability Pipelines remain scalable, performant and reliable.
- Own Quarterly OKRs and deliver roadmap initiatives that enhance the data processing, transformation and routing capabilities.
- Be technically involved with the team—reviewing RFCs, architectural decisions and key pull requests to ensure high-quality and efficient solutions.
- Work cross-functionally with internal platform teams to optimize integration and performance across Datadog’s observability ecosystem.
- Ensure operational excellence, including participating in on-call rotations, improving observability of pipelines, and reducing incident response time.
- Improve developer efficiency by optimizing team processes, automation and tooling.
Job Requirements
Required Qualifications:
- Experience managing teams of 5+ engineers with a range of seniority levels.
- Strong technical background in backend development and distributed systems, particularly in high-throughput data processing.
- Product-oriented with a track record of shipping impactful features that provide real customer value, and comfort with customer interaction and partnering with Product Managers to align roadmaps.
- Ability to resolve ambiguity, manage stakeholders, and provide clear direction for projects.
- Experience designing and scaling data ingestion and processing systems that handle large volumes of observability data.
- BS/MS/PhD in Computer Science, Engineering, or a related field or equivalent experience.
Additional commentary
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re 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.
To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.
Summary and company overview
Summary Information About the Role
As an Engineering Manager for Observability Pipelines, you will lead the team responsible for ingesting, transforming and delivering data within Observability Pipelines. Your team will design, build and maintain high-scale, high-performance data processing systems that give customers full control over their observability data. You will work closely with engineering, product and design stakeholders to drive innovation while ensuring system scalability, reliability and performance. You will also foster a high-performing team culture that encourages mentorship, technical excellence and collaboration.
Company Overview
Observability Pipelines allows organizations to collect, process and route logs within their own infrastructure before sending them to downstream integrations. The Observability Pipelines Worker runs inside customer infrastructure, aggregating, transforming, and routing logs. This ensures data redaction, pre-processing, and routing can happen before any data leaves the environment. The Observability Pipelines UI provides a control plane to manage Workers, build and edit pipelines, and deploy changes. It also enables health monitoring of pipelines to ensure operational reliability.
About
Datadog
Company Size
Large (5K-20K)
Employer type
Enterprise
Company Rating (Glassdoor)
4.0
View Glassdoor
