Principal Architect & Data Engineer
Tasks
- Build federated data mesh models
- Build orchestration pipelines
- Create agentic AI frameworks
- Design enterprise data platform architecture
- Develop RBAC ABAC and masking
- Develop observability for data platforms
- Ensure data quality controls
- Establish secure data access patterns
- Implement RAG architecture
- Implement data governance standards
- Lead distributed engineering architecture
- Lead lakehouse evolution
- Manage metadata and lineage
- Mentor data architects and engineers
- Optimize cloud data platform cost and performance
- Support enterprise AI registries
- Translate architecture roadmaps to executive stakeholders
Perks/Benefits
- Equity or stock options
- Health dental and wellness benefits
- Professional development opportunities
- Remote first within Canada
Skills/Tech-stack
ABAC | AWS Bedrock | AWS Glue | AWS S3 | Amazon Redshift | Apache Airflow | Apache Spark | CI/CD | Cloud Economics | Cost Optimization | Data Governance | Data Lineage | Data Quality | Data Security | Data masking | Data mesh | Encryption | Federated Query | Federated Query Engines | Google BigQuery | Infrastructure as Code | Lakehouse | Metadata Management | Observability | PII handling | Policy-as-Code | Python | Query engines | RAG | RBAC | Retrieval-Augmented Generation | SQL | Semantic layer | Terraform | Vector Databases | Vertex AI | Zero Copy Architectures | Zero copy | “as-code”
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Principal | Principal Data Engineer
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