Principal, Data & AI Platform Engineer
Berkeley Heights, New Jersey, United States
USD 110K-186K Senior-level Full Time
Tasks
- Apply secure coding and fix security scan findings
- Automate report generation anomaly detection alerting triage
- Build ELT ETL workflows data models schemas
- Build analytics datasets and semantic layers
- Build machine learning feature engineering training validation inference pipelines
- Define KPIs metrics and reporting logic
- Deploy on prem machine learning and LLM solutions
- Design secure data pipelines into Snowflake
- Enable governed self service analytics
- Enforce encryption access control and governance
- Ensure data quality lineage reconciliation
- Expose secure APIs for data access analytics and AI inference
- Implement secure on prem inference pipelines
- Integrate AI outputs into applications and reporting
- Integrate analytics and AI with Java Spring Boot services
- Optimize workflows and decision support
- Support audits compliance and risk remediation
- Tune Snowflake performance and cost
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Access Control | Authentication | Authorization | Containerization | Data Governance | Data Modeling | Data Security | Docker | ELT | ETL | Embeddings | Encryption | Hybrid Cloud | Inference Optimization | Java | Kubernetes | LLM | Machine Learning | Microservices | On-Premises | PostgreSQL | Private Cloud | Prompt engineering | Python | REST APIs | SQL | Security Scanning | Snowflake | Spring Boot | Token based | Token-based access | Vector Search
Education
Roles
AI Platform Engineer | Analytics Engineering | Data Platform Engineer | Data and AI Platform Engineer | Engineer | Engineering | Platform Engineer | Principal | Principal - Analytics Engineering | Principal Data Platform Engineer | Principal Data and AI Platform Engineer | Principal, Analytics
Regions
Countries
States
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