Principal Engineer - Data Engineering [FY-352]

Principal Engineer - Data Engineering [FY-352]

Principal Engineer, Data Engineering (Director Level)

Contract to Full-time Permanent

Hybrid/Remote - 2-3 days per week in office

Greater Toronto Area, ON

We are seeking a Principal Engineer to lead our client's data engineering initiatives on the Microsoft Azure stack. This is a hands-on, director-level role that combines technical leadership with strategic vision to drive the architecture and execution of our data platforms.

Responsibilities

Technical Leadership:

- Architect and build scalable, high-performance data engineering solutions leveraging the Microsoft Azure ecosystem (e.g., Azure Data Lake, Azure Synapse, Azure Databricks).
- Define and enforce best practices for data architecture, ETL/ELT pipelines,



and data governance.
- Establish technical standards for performance, security, and scalability in data engineering.
- Research and integrate emerging tools, frameworks, and methodologies to enhance the data platform.

Team Leadership:

- Lead and mentor a team of data engineers, fostering a culture of collaboration and innovation.
- Provide hands-on support and technical guidance to team members, ensuring high-quality deliverables.
- Champion professional development and upskilling within the team.

Strategic Oversight:

- Define the technical roadmap for data engineering, aligning with organizational goals and analytics needs.
- Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions.
- Ensure the data platform is optimized for analytics, machine learning, and business intelligence use cases.

Operational Excellence:

- Oversee the delivery of projects, managing priorities, timelines, and dependencies.
- Implement and maintain robust monitoring, alerting, and logging frameworks for the data platform.




- Drive continuous improvement initiatives to enhance system reliability and performance.

Requirements

Technical Skills:

- 10+ years of experience in data engineering, with a focus on cloud-based solutions.
- Expertise in Microsoft Azure tools and services, including Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Azure SQL Database.
- Proficiency in big data technologies, distributed systems, and real-time data processing frameworks (e.g., Spark, Kafka).
- Strong knowledge of data modeling, ETL/ELT design, and pipeline orchestration.
- Experience with programming languages such as Python, Scala, or SQL.
- Solid understanding of data security, governance, and compliance practices.
- Familiarity with CI/CD processes and DevOps tools for data pipelines.

Leadership Skills:





- Proven experience leading data engineering teams, ideally in a director-level or equivalent capacity.
- Ability to balance hands-on technical work with strategic leadership responsibilities.
- Strong mentoring skills with a track record of growing engineering talent.

Other Qualifications:

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Exceptional problem-solving and analytical skills, with a focus on scalable solutions.
- Excellent communication and interpersonal skills, with the ability to present complex ideas to senior stakeholders.
- Passion for staying ahead of industry trends and advancements in data engineering and cloud technologies.

The original job offer can be found in Kit Job:
https://www.kitjob.ca/job/90142514/principal-engineer-data-engineering-fy-352-greater-toronto-area/?utm_source=html