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AWS Data Engineer AWS Lake Formation, AWS Quicksight, Terraform


Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer
Experience Required: 5years
Posted: 13 August 2026 (22 days ago)
Application Deadline: 10 November 2026
Vacancies: 1 Vacancy

Job Summary

AWS Data Engineer - AWS Lake Formation Terraform DFPaaS


Experience: 10 years
Location: Toronto ON
Work Model: Hybrid 3 days per week onsite
Contract: 612 months


Key Skills
  • AWS Lake Formation
  • Amazon S3 Glue Data Catalog EMR/EC2 Athena
  • Apache Spark
  • AWS Lambda API Gateway EventBridge SNS SQS
  • Amazon Neptune
  • Terraform AWS CloudFormation IAM
  • AWS Infrastructure & Data Platform Engineering
  • Amazon QuickSight
  • AWS IAM Identity Center and Agent Core
  • Low-Latency Data Solutions
Role Description

We are seeking a Senior AWS Data Engineer with strong experience in AWS data platforms infrastructure and automation to build and scale data solutions supporting enterprise data products. The ideal candidate will have hands-on expertise with AWS Lake Formation S3 Glue Spark Athena Terraform and serverless AWS services.

Key Responsibilities
  • Build launch and scale Data Factory Platform as a Service (DFPaaS) across data product producers.
  • Establish consistent tooling and frameworks for building high-quality interoperable data products.
  • Design and implement AWS data infrastructure using Lake Formation S3 Glue Data Catalog EMR/EC2 Athena and Spark.
  • Develop and manage cloud infrastructure using Terraform and AWS CloudFormation.
  • Strengthen data entitlement access management and governance using IAM and IAM Identity Center.
  • Enable self-service data subscription and data sharing through the Data Portal.
  • Improve data discovery through catalog organization content tagging and search capabilities.
  • Develop event-driven and serverless solutions using Lambda EventBridge SNS SQS and API Gateway.
  • Support low-latency data solutions and scalable data platform capabilities.
  • Contribute to platform reliability automation security and operational efficiency.
  • Support AWS data visualization and analytics capabilities using Amazon QuickSight.