Manager I, Engineering - Data & Analytics, Gove... @ Datadog
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Overview
At Datadog, our Alerting stack processes millions of monitors each minute, notifying customers when thresholds are crossed. The Analytics Data Platform Governance team manages our Data Catalog which tracks millions of data assets and their metadata, supporting event-driven pipelines and ensuring compliance at scale. This platform empowers engineers to build reliable pipelines and analysts to make trusted data-driven decisions.
Role Description
This role is for an Engineering Manager to lead a team building the next generation of Data Observability and Data Access Management tooling for Datadog. The team handles 1k requests per second and tracks 30M new assets monthly.
What You’ll Do
- Lead a team of 5-7 Backend Engineers
- Own the team’s roadmap and vision, breaking down tasks
- Collaborate with engineering and analytics teams to meet their needs
- Stay updated on data processing advancements for integration opportunities
- Contribute actively by writing and reviewing pull requests
Who You Are
You have proven leadership experience and understanding of API/backend development. You are familiar with operating highly available applications and data engineering tools. Experience with technologies like Golang, Python, Postgres, Kafka, Kubernetes, and Spark is desirable along with a passion for governance at scale.
Nice to Haves
Experience with access management, OpenLineage, Airflow, React UI development, Iceberg, or Trino.
Work Environment
Datadog values a strong office culture and operates in a hybrid environment to promote work-life harmony.
Benefits and Growth
- Stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development and career pathing
- Mentor and buddy programs for networking
- Inclusive company culture with community guilds
- Comprehensive health, dental, parental, mental health benefits
Compensation
This role offers a competitive salary and equity package with an estimated yearly salary around 213,000 USD.
About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business known for its growth and profitability. Built by engineers, for engineers, the company champions professional development, diversity, and innovation in a collaborative, people-first environment.
Equal Opportunity
Datadog is an equal opportunity employer committed to diversity and inclusion with extensive hiring practices ensuring fairness throughout the process.
Key skills/competency
- Data Governance
- Data Observability
- Engineering Management
- Backend Development
- API Development
- Data Catalog
- Compliance
- Team Leadership
- Scalability
- Hybrid Work
How to Get Hired at Datadog
🎯 Tips for Getting Hired
- Research Datadog's culture: Understand their hybrid work and team dynamics.
- Customize your resume: Highlight leadership and backend development skills.
- Showcase technical expertise: Include Golang, Python, and data tools.
- Prepare for interviews: Be ready to discuss scalable data systems.