Software Engineer - Data & Analytics Governance @ Datadog
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About the Role
The Software Engineer - Data & Analytics Governance at Datadog builds and maintains high-performance backend services for the Data Catalog. This role supports data processing pipelines, data discovery, and observability to empower data-driven decisions.
Key Responsibilities
- Develop backend services to optimize data pipelines and catalog usage.
- Collaborate with engineering and analytics teams ensuring compliance and performance.
- Solve scale challenges including sharding storage and optimizing clients.
- Standardize schemas, improve navigation, and integrate customer-facing products.
- Automate compliance tagging and manage data access on various platforms.
- Participate in quarterly projects using agile scrum methodologies.
Who You Are
Experienced in API/backend development with proficiency in Golang, Python, and other languages, you are knowledgeable about operating highly available applications and familiar with Data Engineering concepts. You have a passion for enabling governance at scale and building platforms for diverse use cases.
Bonus Points
- Experience with access management, React UI development, Iceberg, or Trino.
- Interest in schema standardization and compliance automation.
Benefits and Growth
Datadog offers new hire stock equity (RSUs), an ESPP, continuous professional development, and career pathing. Enjoy mentor programs, inclusive culture, employee resource groups, and global mental health benefits.
Key skills/competency
- Data Catalog
- Backend
- API
- Governance
- Compliance
- Scalability
- Data
- Python
- Golang
- Automation
How to Get Hired at Datadog
🎯 Tips for Getting Hired
- Research Datadog's culture: Understand their mission and values.
- Customize your resume: Highlight API and backend expertise.
- Prepare for technical challenges: Showcase scalability experience.
- Engage with current employees: Use LinkedIn and Glassdoor insights.