Data Solutions Architect

10 hours ago


Toronto, Ontario, Canada Agnico Eagle Mines Limited Full time

Agnico Eagle Mines Limited is a leading gold mining company with operations across the globe. We are currently seeking a highly skilled Data Solutions Architect to join our team in Toronto, ON.

The estimated annual salary for this position is $120,000 - $180,000 CAD, depending on experience.

About Our Company

We operate with the highest performance standards, minimizing environmental impacts and contributing to local communities. As one of the world's 100 best-performing companies (Harvard Business Review), we prioritize innovation, sustainability, and employee growth.

About This Role

This is a pivotal position within our Digital Transformation department. You will collaborate with experts from various disciplines to design, build, and maintain efficient data pipelines that drive business insights and decisions.

Your primary responsibility will be to architect data solutions that meet the evolving needs of our organization. This involves:

  • Working closely with Data Analysts, Solutions Engineers, and domain experts to understand their data requirements and deliver tailored solutions;
  • Designing optimized data models from diverse sources to meet business demands;
  • Creating and managing datasets and databases to support organizational data needs;
  • Developing, testing, and maintaining robust data architectures and processing systems;
  • Built-in expertise in ELT (Extract, Load, Transform) pipelines to facilitate seamless data flow between sources and destinations;
  • Providing technical guidance and feedback to junior data engineers and analysts;
  • Implementing data quality checks and validations to ensure accuracy and reliability;
  • Ensuring compliance with company cybersecurity requirements and best practices;
Requirements and Qualifications

To succeed in this role, you must possess:

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or equivalent experience in a related field;
  • At least 5 years' experience in data engineering, including proficiency in languages like Python, R, or Scala;
  • Knowledge of SQL and NoSQL databases, as well as cloud services like AWS, Google Cloud, or Microsoft Azure;
  • Familiarity with data lakehouse solutions and ELT tools within the Microsoft and Azure ecosystem;
  • Experience with big data processing frameworks like Apache Spark;
  • Strong problem-solving skills, particularly in debugging and improving data systems;
  • Excellent communication and teamwork abilities;
  • A willingness to stay up-to-date with the latest industry trends and advancements;

Additional preferred qualifications include experience with Agile development methodologies and demonstrated knowledge of Data Cloud infrastructure environments available within the Microsoft Azure suite.



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