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.