Hybrid Senior Data Architect: Data Mesh & Governance in Toronto

Hybrid Senior Data Architect: Data Mesh & Governance in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and support data architecture while collaborating with stakeholders.
  • Company: Leading consulting firm in Toronto with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and advance your career in a thriving industry.
  • Why this job: Shape the future of data governance and make an impact in complex environments.
  • Qualifications: Strong data modeling skills and experience with big data technologies.

The predicted salary is between 123750 - 151250 $ per year.

A leading consulting firm in Toronto is seeking a Senior Data Architect/Modeller to develop and support data architecture in complex environments.

This hybrid position requires collaboration with stakeholders to align data architecture with enterprise strategies.

Ideal candidates will possess strong data modeling knowledge and experience with big data technologies.

The role involves ensuring compliance with data governance and monitoring data standards. #J-18808-Ljbffr

Hybrid Senior Data Architect: Data Mesh & Governance in Toronto employer: Rubicon Path

As a Systems Testing/QA Specialist at our Toronto location, you will thrive in a collaborative and innovative work culture that prioritizes quality and continuous improvement. We offer competitive benefits, opportunities for professional growth, and a commitment to work-life balance, ensuring that you can excel in your role while contributing to meaningful projects that impact the community. Join us to be part of a dynamic team dedicated to delivering high-quality solutions in a supportive environment.

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Contact Details:

Rubicon Path Recruitment Team

We think you need these skills to ace Hybrid Senior Data Architect: Data Mesh & Governance in Toronto

Data Architecture
Data Modelling
Big Data Technologies
Data Governance
Stakeholder Collaboration
Compliance Monitoring
Data Standards