Director of Engineering (Data Platform)
Austin, Texas, United States
USD 189K-222K Executive-level Full Time
Tasks
- Align platform priorities with product and research teams
- Architect scalable AI ready data infrastructure
- Build and mentor engineering teams across geographies
- Champion self service APIs and developer tooling
- Develop engineering managers and senior technical leaders
- Drive adoption of feature stores and vector storage
- Drive continuous improvement for reliability and delivery
- Improve engineering productivity using AI
- Lead large scale platform delivery
- Lead model serving infrastructure for AI workloads
- Optimize telemetry ingestion to model experimentation and deployment
- Own production operations and incident management
- Set data processing and schema evolution best practices
Perks/Benefits
- Behavioral wellness services
- Employee recognition program
- Generous time off
- Health insurance
- Income protection
- Life insurance
- Retirement savings plan
Skills/Tech-stack
AWS | Apache Spark | Batch Processing | Cloud platform | Columnar Databases | Data Ingestion | Data Ingestion Pipelines | Data Processing | Data Quality | Data Storage | Databricks | Distributed Systems | Embeddings | Feature Stores | Google Cloud | Google Cloud Platform | Incident Response | Ingestion pipelines | Language Models | Large Language Models | Microsoft Azure | Model Serving | Object storage | Observability | Retrieval-Augmented Generation | SRE | Schema evolution | Stream processing | Time Series | Time-series databases | Vector Databases
Education
N/A
Roles
Director | Director of Engineering | Engineering | Engineering Manager | Manager
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