Principal Data Engineer - AWS data platform
Astra North Infoteck Inc.Full Timeprincipal
Toronto, Ontario, CAPosted April 1, 2026
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Job Description
Role: Senior Data Engineer – AWS (with architecture exposure)
Location: Toronto
Experience: 10+ years
? Key Responsibilities
- Lead the design, build, and evolution of cloud-native data engineering frameworks on AWS
- Architect and optimize end-to-end data pipelines (batch and streaming) for performance, reliability, and scalability
- Drive adoption and experimentation with new and emerging AWS services to improve efficiency and innovation
- Establish engineering standards, patterns, and best practices for data ingestion, transformation, and storage
- Collaborate with analysts, and product teams to support analytics
- Own data quality, monitoring, observability, and cost optimization strategies
- Provide technical leadership and mentorship to mid-level data engineers
- Participate in architectural reviews and contribute to enterprise-wide data strategy
? Required Qualifications
- 10+ years of experience in data engineering or software engineering, with strong & dedicated hands-on AWS experience of 4-5 years
- Proven experience designing large-scale, production-grade data platforms
- Expertise with core AWS data services such as:
- Amazon 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 (Airflow, AWS-native equivalents, etc.)
- Solid knowledge of data modeling, distributed systems, and performance tuning
- Experience working in CI/CD, Infrastructure as Code (Terraform, CDK, CloudFormation)
- Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
⭐ Preferred Skills
- Experience experimenting with or adopting new AWS services and driving proof-of-concepts
- Exposure to real-time streaming architectures
- Familiarity with data governance, security, and compliance in cloud environments
- Experience supporting analytics, BI, or ML platforms
- Experience with Agile Frameworks
- AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)
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