Principal Consultant AWS Data Platforms & Agentic AI

About the Role

We are looking for a Principal Consultant AWS Data Platforms & Agentic AI to provide technical leadership in architecting building and scaling next-generation enterprise Data and Agentic AI platforms.

This is a senior hands-on technology leadership role requiring a rare combination of AWS Data architecture Agentic AI expertise engineering depth and executive presence.

You should be equally comfortable presenting a technology vision to senior executives defining Reference Architectures/HLDs/LLDs leading technical workshops and working directly with engineers to solve complex design implementation and performance issues.

This is not a strategy-only architecture role. Strong hands-on engineering capability is essential.

What Youll Do

- Lead architecture and engineering across Enterprise Data Platforms Data Fabric Data Products Data Marketplace BI and Agentic AI.

- Define scalable Lakehouse and Medallion Architecture patterns for data ingestion processing storage governance and consumption.

- Architect Semantic Layers Ontologies and Knowledge Graphs including Amazon Neptune to support analytics and Agentic AI.

- Design secure Agentic AI solutions using Amazon Bedrock AgentCore Runtime Gateway Identity and Model Context Protocol (MCP).

- Establish patterns for Agent Identity authentication authorization entitlements and governed agent-to-data access.

- Build identity and entitlement architecture across IAM IAM Identity Center Cognito Lake Formation S3 Glue Athena and QuickSight.

- Design fine-grained data security including RLS/CLS data governance guardrails and access observability.

- Industrialize Amazon QuickSight through dataset automation SPICE optimization security integration and platform governance.





- Establish enterprise Agent telemetry observability and evaluation across agents models MCP/tool calls and data access.

- Define reusable Reference Architectures HLDs LLDs engineering standards and implementation guardrails.

- Lead architecture workshops technical deep-dives and design reviews with engineering and senior leadership.

Hands-On Engineering

This role requires someone who can go beyond architecture and work under the hood.

You will:

- Deep-dive into code Spark jobs data pipelines SQL APIs IAM policies infrastructure and platform configurations.

- Diagnose complex design integration production and performance issues.

- Optimize workloads across Spark/EMR Athena data pipelines and distributed services.

- Build POCs and reference implementations.

- Review solutions for scalability security resiliency and production readiness.

- Act as a senior technical escalation point and mentor architects and engineers.

Technology Expertise

Strong architecture and hands-on expertise across several of the following:

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 Were Looking For

- 12 years across Data Platforms Cloud Engineering Platform Engineering or Architecture.

- 7 years of strong 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.

- Robust 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.

Who Will Thrive in This Role

You are neither a strategy-only Enterprise Architect nor solely a delivery-focused Data Engineer.

You bring together:

Architecture Depth Hands-on Engineering Data & Agentic AI Vision Executive Presence

You can articulate the future of Enterprise Data and Agentic AI to senior executives translate that vision into detailed architecture and then work alongside engineering teams to build troubleshoot and optimize the solution.

You dont just define the architecture. You help build it and make it work in production.

Required Skills:

Salesforce

📌 Principal Consultant – AWS Data Platforms & Agentic AI (Toronto)
🏢 Astra North Infoteck
📍 Toronto