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IT Services, Software Development, Cloud Consulting, Data Analytics

Principal Data Engineer (AWS)

Toronto, Ontario, CanadaHybridContractPrincipalPosted 2 months ago

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Role summary

Seeking a Principal Data Engineer with deep AWS and large-scale data platform expertise to lead cloud-native data solution design and delivery. This hybrid role involves driving architecture, scalability, and innovation, building high-performance batch and streaming pipelines, and mentoring engineering teams. Key responsibilities include designing/building AWS data platforms, architecting ETL/ELT pipelines, optimizing systems, establishing best practices, implementing quality/monitoring frameworks, and collaborating with cross-functional teams. Must have strong AWS data services knowledge, proficiency in Python/Scala/Java, ETL/ELT pipeline development, data modeling, distributed systems, CI/CD, IaC, and experience with large-scale production data platforms.

🚀 Hiring: Principal Data Engineer (AWS)

📍 Location: Toronto, ON, Canada

🏢 Work Type: Hybrid (2 Days Onsite)

💼 Contract: 12 Months

⏳ Experience: 10+ Years

🔍 Role Overview

We are seeking a Principal Data Engineer with deep expertise in AWS and large-scale data platforms to lead the design and delivery of cloud-native data solutions. You will drive architecture, scalability, and innovation across enterprise data platforms, building high-performance batch and streaming pipelines while mentoring engineering teams.

🛠️ Key Responsibilities

✔️ Design and build cloud-native data platforms on AWS

✔️ Architect end-to-end data pipelines (ETL/ELT – batch & streaming)

✔️ Optimize systems for performance, scalability, and cost efficiency

✔️ Establish data engineering standards and best practices

✔️ Implement data quality, monitoring, and observability frameworks

✔️ Collaborate with analytics, BI, and product teams

✔️ Lead technical strategy and mentor engineering teams

✔️ Contribute to enterprise data architecture decisions

✅ Must-Have Skills

  • AWS Data Services (S3, Glue, Redshift, EMR, Lambda, Step Functions, Kinesis/MSK)
  • Strong programming: Python / Scala / Java
  • ETL/ELT pipeline development & orchestration (Airflow or AWS tools)
  • Data modeling & distributed systems expertise
  • CI/CD & Infrastructure as Code (Terraform, CDK, CloudFormation)
  • Experience building large-scale production data platforms

⭐ Preferred Skills

  • Real-time streaming architecture experience
  • Data governance, security & compliance knowledge
  • Experience supporting BI / Analytics / ML platforms
  • AWS Certifications (Solutions Architect / Data Analytics Specialty)

📩 Interested candidates can share their resume to sagar@ardentsoftsol.com

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