Senior GCP Data Architect in Winnipeg

Senior GCP Data Architect in Winnipeg

Winnipeg Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and build GCP-based data platforms for healthcare.
  • Company: Leading healthcare technology company focused on innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on data governance.
  • Why this job: Influence data strategies in a clinical environment and make a real impact.
  • Qualifications: 10+ years in data architecture with strong GCP skills.

The predicted salary is between 135000 - 165000 $ per year.

A healthcare technology company is seeking an experienced Data Architect to design and build GCP-based data platforms.

The ideal candidate will have over 10 years of experience in data architecture, strong technical skills in the GCP data stack, and a solid understanding of clinical healthcare data standards.

This role involves establishing data governance, ensuring data quality, and collaborating with various stakeholders to meet business data needs.

This position offers an exciting opportunity to influence data strategies in a clinical environment. #J-18808-Ljbffr

Senior GCP Data Architect in Winnipeg employer: Galent

Galent is an exceptional employer located in the vibrant city of Toronto, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technologies and professional development programs, all while working on impactful projects in the big data space. With a commitment to data governance and security, Galent ensures a meaningful and rewarding experience for its team members.

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Contact Details:

Galent Recruitment Team

We think you need these skills to ace Senior GCP Data Architect in Winnipeg

Data Architecture
GCP Data Stack
Clinical Healthcare Data Standards
Data Governance
Data Quality Assurance
Stakeholder Collaboration
Data Strategy Development