Hiring Principal Data Engineer in Toronto, Ontario

Artech Information Systems Voir toutes les offres

  • Toronto, ON
  • Contrat
  • Temps-plein
  • Il y a 8 jours
Role: Principal Data Engineer
Location: Toronto, Ontario (Hybrid) 2 days in office
Duration: 06 - 12 months.
Description:
Join our dynamic team as a Principal Data Engineer, where you will lead the design and evolution of cutting-edge cloud-native data engineering solutions on AWS. This is an exciting opportunity to shape the future of data engineering and contribute to our enterprise-wide data strategy.Required Skills & Qualifications
  • 10 years of experience in data engineering or software engineering.
  • Strong 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.
  • Prior work experience at client or in client's industry.
Preferred Skills & Qualifications
  • 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).
Day-to-Day 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.
Company Benefits & Culture
  • Comprehensive health and dental benefits.
  • Flexible work arrangements and a supportive work-life balance.
  • Opportunities for professional development and career advancement.
For immediate consideration please click APPLY to begin the screening process with Alex.

Artech Information Systems