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Principal Engineer

1 week ago


Greater Toronto Area, Canada Encore Technical Solutions Inc. Full time

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.