Tech Lead, Data & Inference Engineer
Palo Alto, California, United States
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming pipelines
- Deliver data as a product with data contracts and ownership models
- Document lineage trade offs and reversibility
- Ensure data consistency and quality for real time and batch use cases
- Guide data lake and pipeline architecture decisions
- Implement retrieval-augmented generation workflows
- Lead end to end data platform from ingestion to insights
- Manage model and pipeline version control caching and evaluation loops
- Mentor engineers and review code
- Operate inference pipelines for enrichment scoring and quality assurance
- Own reliability cost and service level objectives
- Run root cause analysis and implement long lasting fixes
- Transform data sources and APIs into trusted low latency systems
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | CI/CD | Cloud platform | DBT | Dagster | Data Modeling | DuckDB | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microsoft Azure | Node.js | Observability | Prefect | Python | Retrieval-Augmented Generation | SQL | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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