Senior AWS Data Engineer & Platform Leader

Apptoza Inc.; Toronto; On-site; CAD 120,000 - 190,000; Full time

Job summary

Apptoza Inc. seeks a senior technical leader to define data strategy and establish best practices across engineering, analytics and business teams. You will lead cloud-native data pipelines on AWS, drive scalable batch and streaming architectures, and mentor mid-level data engineers.

You will champion data quality, observability, and cost optimization while shaping enterprise-wide data strategy and architectural governance.

Qualifications

• 10+ years of experience in Data Engineering or Software Engineering.
• 4-5 years of dedicated hands-on experience with AWS.
• Proven experience designing and implementing large-scale, production-grade data platforms.
• Expertise with AWS data services, including S3, Glue, Redshift, EMR, Lambda, Step Functions, Kinesis, MSK.
• Strong programming skills in Python, Scala, or Java.
• Deep experience with ETL/ELT frameworks and data pipeline orchestration tools, including Airflow and AWS-native orchestration services.
• Strong understanding of data modeling, distributed systems, and performance tuning.
• Experience with CI/CD practices and Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

Responsibilities

• Lead the design, development, and enhancement of cloud-native data engineering frameworks on AWS.
• Architect, build, and optimize end-to-end batch and streaming data pipelines for scalability, reliability, and performance.
• Drive experimentation and adoption of new and emerging AWS services to improve platform capabilities and operational efficiency.
• Establish data engineering standards, patterns, and best practices for data ingestion, transformation, and storage.
• Partner with analytics and product teams to support reporting, analytics, and business objectives.
• Own data quality, monitoring, observability, and cost optimization strategies across the data platform.
• Provide technical leadership and mentorship to mid-level data engineers.
• Participate in architectural reviews and contribute to enterprise-wide data strategy and decision-making.

Skills

Python

Scala

Java

Data modeling

Distributed systems

Mentorship

Communication

Tools

Airflow

Terraform

AWS CDK

CloudFormation

Amazon S3

AWS Glue

Amazon Redshift

Amazon EMR

AWS Lambda

AWS Step Functions

Amazon Kinesis

Amazon MSK

Job description

Apptoza Inc. seeks a senior technical leader to define data strategy and establish best practices across engineering, analytics and business teams. You will lead cloud-native data pipelines on AWS, drive scalable batch and streaming architectures, and mentor mid-level data engineers.

You will champion data quality, observability, and cost optimization while shaping enterprise-wide data strategy and architectural governance.