Software Engineering PMTS - Data Platform
California - San Francisco, United States
USD 197K-313K Senior-level Full Time
Tasks
- Architect RAG using embeddings and vector stores
- Build self service analytics dashboards
- Consolidate data destinations
- Define data contracts across teams
- Design agent native data access with MCP
- Design streaming and batch ingestion pipelines
- Develop ML feature store training and serving
- Drive zero disruption data platform migrations
- Ensure GDPR/CCPA compliance
- Ensure pipeline reliability SLOs
- Evaluate and monitor ML models
- Implement LLM safety and hallucination controls
- Implement fine grained access control
- Lead cross org technical architecture reviews
- Mentor data engineering and analytics teams
- Own end-to-end data architecture
- Set PII handling and multi tenant isolation standards
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Redshift | Audit Logging | Batch data | Batch data pipelines | BigQuery | CCPA | Cloud platform | Column-Level Security | Data Architecture | Data Lineage | Data Modeling | Data Pipelines | Databricks | Dimensional Modeling | Embeddings | Event modeling | Feature Store | GDPR | Google Cloud | Google Cloud Platform | LLM | LLM safety | Lakehouse | MCP | Machine Learning | Model Evaluation | Model Serving | Multi-tenancy | PII Classification | Privacy-Preserving ML | Privacy-preserving | Prompt engineering | Retrieval-Augmented Generation | Row Level Security | Snowflake | Streaming Data | Streaming data pipelines | Tableau | Vector Databases | Warehouse design
Education
N/A
Regions
Countries
States
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