26 Oct
|
apptoza
|
Toronto
Job Overview
Principal Consultant – AWS Data Platforms & Agentic AI
Toronto-hybrid
Full time Role
- AWS Data & Analytics
- Amazon S3, AWS Lake Formation, Glue Data Catalog
- Amazon EMR on EC2 / EMR Serverless
- Spark / PySpark, Amazon Athena
- Lakehouse & Medallion Architecture
- Data Fabric, Data Products, Data Marketplace
- Data Pipelines, Metadata, Lineage & Data Governance
- Agentic AI & Knowledge Platforms
- Amazon Bedrock / AgentCore
- AgentCore Runtime, Gateway & Identity
- Model Context Protocol (MCP)
- Semantic Layer & Ontologies
- Knowledge Graphs / Amazon Neptune
- Agent Identity, Entitlements & AI Guardrails
- Integration, Security & Platform Engineering
- AWS IAM, IAM Identity Center, Cognito
- EventBridge, SNS, SQS, API Gateway, Lambda
- Terraform, AWS CloudFormation
- OpenTelemetry, CloudWatch, CloudTrail
- QuickSight / SPICE / RLS / CLS
- APIs, SQL, Angular and automation
What We're Looking For
- 12+ years across Data Platforms, Cloud Engineering, Platform Engineering or Architecture.
- 7+ years of solid AWS architecture and engineering experience.
- Proven experience architecting and building enterprise-scale Data Platforms on AWS.
- Deep understanding of Data Architecture, Medallion/Lakehouse, Data Products, Data Pipelines, Semantic Layers, metadata, governance and security.
- Strong understanding of GenAI and Agentic AI architectures and their integration with enterprise data.
- Experience taking solutions from architecture through implementation, production deployment and operationalization.
- Ability to troubleshoot complex code, data, integration and performance issues.
- Strong experience creating Reference Architectures, HLDs and LLDs.
- Ability to lead executive conversations as well as hands-on technical workshops.
- Financial Services or regulated-industry experience preferred.
Pay: $140,000.00-$150,000.00 per year
Work Location: Hybrid remote in Toronto, ON (Toronto District)
📌 Principal Consultant – AWS Data Platforms & Agentic AI (Toronto)
🏢 apptoza
📍 Toronto