Engineering Manager, Data Platform
Tasks
- Build mentor and lead data and platform engineers
- Define and track platform KPIs
- Design analytics experimentation event tracking usage metering systems
- Drive data engineering system design and observability best practices
- Enable data-driven decision-making
- Ensure scalability reliability performance and data quality
- Evaluate tools technologies and processes to improve ROI
- Improve developer experience and usability for internal teams
- Optimize infrastructure for cost-efficiency and performance
- Own data platform architecture and evolution
- Partner with product AI growth and marketing teams on data needs
- Provide technical guidance career development and performance management
- Support AI research with data for training and capabilities
- Translate data needs into scalable solutions
Perks/Benefits
- Development reimbursements
- Employee referral program
- Flexible working hours
- Hybrid remote work
- Life and accidental insurance
- Maternity and parental leave
- Medical coverage
- Premium access to QuillBot
- Professional workshops
- Tech and WFH stipends
- Vacation and leave
Skills/Tech-stack
AWS | Analytics | Azure | Cloud Computing | Data Engineering | Data Pipelines | Data Processing | Data Quality | Distributed Systems | ELT | ETL | Event Tracking | Experimentation | GCP | JavaScript | Node.js | Observability | Performance optimization | React | React.js | Reliability | Scalability | Spark | Streaming Data | Streaming data processing | System design | Usage metering
Education
N/A
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