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AWS Data Platform Engineering Lead – AWS Data Services
Job Location:
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
5years
Experience Required:
Posted:
27 August 2026 (3 days ago)
Posted:
Application Deadline:
24 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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. |
