Director of Data Engineering
Tasks
- Align data roadmaps with product goals
- Apply SRE principles to build automation and guardrails
- Architect data strategy
- Build ML Ops framework
- Build telemetry event schemas
- Define telemetry design and implementation
- Deploy monitor and iterate AI models
- Design proactive player modeling
- Establish telemetry standards
- Implement FinOps practices
- Lead data platform evolution
- Lead engineering team hiring mentoring
- Monitor and optimize data processing costs
- Partner with DevOps and commercial leadership
- Transition ETL to AI integrated processing
- Uplevel data operations and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Integrated Data Processing | Automation | Cloud Budgeting | Cost Optimization | Data Engineering | Data Modeling | Data Processing | Databricks | Databricks Genie | DevOps | Distributed Systems | Event Driven | Event-driven architecture | Feature Engineering | FinOps | Langchain | ML Ops | Machine Learning | Model Deployment | Model Monitoring | Proactive modeling | Reliability Engineering | Rust | SRE | Site Reliability | Site Reliability Engineering | Snowflake | Snowflake Cortex | Streaming Data | Telemetry
Education
N/A
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