AWS Data Platform Engineering Lead - AWS Data Services

AWS Data Platform Engineering Lead – AWS Data Services

Location: Toronto: Hybrid 2 days a week in office

Role Overview

We are seeking a Senior Data Engineer with strong AWS expertise to lead the design, development, and evolution of scalable, high-performance data platforms. This role is responsible for building cloud-native data engineering frameworks, optimizing complex data pipelines, and evaluating emerging AWS services to drive innovation and efficiency.

As a senior technical leader, you will collaborate with architecture, analytics, and business teams to define long-term data strategy, establish engineering best practices, and support enterprise-wide data initiatives.

Key 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.

Required 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:

• Amazon S3

• AWS Glue

• Amazon Redshift

• Amazon EMR

• AWS Lambda

• AWS Step Functions

• Amazon Kinesis

• Amazon 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.

Preferred Qualifications

• Experience evaluating and implementing new AWS services through proof-of-concept initiatives.

• Exposure to real-time streaming data architectures.

• Knowledge of data governance, security, and compliance within cloud environments.

• Experience supporting analytics, business intelligence, or machine learning platforms.

• Experience working within Agile frameworks.

• AWS certifications such as:

• AWS Certified Data Analytics – Specialty

• AWS Certified Solutions Architect

Technical Leadership Expectations

• Serve as a senior technical leader for AWS data engineering initiatives.

• Influence data platform architecture, engineering standards, and best practices.

• Guide teams in building scalable, reliable, and cost-effective data solutions.

• Promote innovation through the evaluation and adoption of emerging AWS capabilities.