Principal Data Engineer, User Success (Agentic Experiences)
AMER - Canada - Ontario - Toronto - University Ave
CAD 123K-180K (estimate) Senior-level Full Time
Tasks
- Architect batch pipelines
- Architect streaming pipelines
- Build vector search for contextual access
- Define data standards governance and best practices
- Design retrieval systems with embeddings
- Develop evaluation pipelines
- Enable self service analytics with trusted datasets
- Ensure data quality and observability
- Guide build vs buy decisions for data platforms
- Implement low latency high throughput data access
- Implement retrieval augmented generation systems
- Improve instrumentation strategy
- Lead cross-functional technical initiatives
- Mentor engineers
- Operationalize feature engineering and feature stores
- Support AI assisted exploration
- Translate product questions into measurable data signals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS EMR | AWS Glue | AWS IAM | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Redshift | Amazon S3 | Apache Spark | DBT | Data Cataloging | Data Governance | Data Lineage | Data Observability | Data Quality | ELT | ETL | Embeddings | Feature Engineering | Feature Stores | Flink | Hive | Iceberg | Kafka | LLM | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Spark Streaming | Step Functions | Vector Databases
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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