Engineering Manager, Data Platform
Tasks
- Build mentor and lead data and platform engineers
- Collaborate with product AI growth and marketing to define data needs
- Design analytics and experimentation systems
- Drive data engineering system design and observability best practices
- Ensure scalability reliability performance and data quality
- Evaluate tools technologies and processes to improve ROI
- Implement event tracking and usage metering
- Improve developer experience for internal platform users
- Lead data platform architecture and evolution
- Optimize infrastructure for cost-efficiency and performance
- Provide performance management and career development
- Support AI research with training and data capabilities
- Track platform KPIs adoption reliability and performance
- Translate data needs into scalable solutions
Perks/Benefits
- Accidental insurance
- Development reimbursements
- Employee referral program
- Flexible working hours
- Hybrid remote work
- Life insurance
- Maternity leave
- Medical coverage
- Parental leave
- Premium access
- Professional workshops
- Remote work stipends
- Tech stipend
- Vacation and leaves
Skills/Tech-stack
AWS | Analytics engineering | Azure | Best practices | Data Engineering | Data Pipelines | Data engineering best practices | Data platform | Distributed Systems | ELT | ETL | Engineering Best Practices | Event Tracking | Experimentation platforms | GCP | JavaScript | Node.js | Observability | Performance optimization | React | Reliability | Scalability | Spark | Streaming Data | System design | Usage metering
Education
N/A
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