Data Architect
TD Centre - TD Tower - 66 Wellington Street West, Toronto, Ontario, Canada
CAD 125K-148K Senior-level Full Time
Tasks
- Define AI and ML workload foundations feature stores and model serving patterns
- Define data platform architecture
- Define data product packaging versioning and publishing
- Define data quality standards and automated monitoring
- Design and govern data API contracts and versioning
- Design data modeling frameworks and metadata lineage architecture
- Drive architectural reviews and spike investigations
- Drive data contract testing and CI CD for data pipelines
- Embed regulatory reporting requirements into platform design
- Establish batch microbatch and real time processing standards
- Establish event driven data distribution patterns
- Establish platform observability pipeline health and anomaly detection
- Lead DevSecOps and automated testing adoption
- Lead data engineering standards reference architectures and reusable patterns
- Mentor staff data engineers and grow architectural thinking
- Own data governance architecture
- Partner to support low latency generative AI capabilities
Perks/Benefits
Skills/Tech-stack
API Design | API Versioning | Access Control | Anomaly Detection | Apache Flink | Apache Spark | Automated testing | CI/CD | Confluent | Contract testing | Data Contract Testing | Data Governance | Data Lineage | Data Processing | Data Products | Data Quality | Data contract | Data mesh | Data quality monitoring | Databricks | Delta Lake | DevSecOps | Event Driven | Event-driven architecture | Feature Store | Kafka | LLM integration | Metadata Management | Microsoft Azure | Model Serving | Observability | Prompt pipeline | Quality monitoring | Real Time | Real-time Data | Real-time Data Processing | Vector Databases
Education
N/A
Roles
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