Principal Data Architect

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. At Caylent, our people always come first. 

We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

The Mission

We are seeking a highly experienced and skilled Principal Data Architect to join our Cloud Data Engineering Practice. The Principal Data Architect will be responsible for leading the design and implementation of complex cloud-based data solutions for our customers. The ideal candidate will have a deep understanding of cloud data and analytics technologies.

Your Assignment 

• Define strategic roadmaps and targeted outcomes for our clients in a consultative capacity
• Act as a data engineering SME to define upcoming engagements working with our pre-sales teams
• Perform technical interviews for Architect and Engineer candidates as well as provide technical guidance to Architects and Engineers
• Oversee the development and implementation of data standards and operating procedures

Your Qualifications

• At least 4 years of experience in AWS data landscape
• 10 years of experience in at least four of these areas:
  • Relational database design, optimization and migration
  • Data modeling for both transactional and analytics systems including implementation of industry standard data models
  • Big data processing using Spark, Streaming solutions, and NoSQL
  • Machine Learning and MLOps with proficiency in Sagemaker
  • BI dashboards and visualizations
  • Data Governance and MDM
• Experience with at least two of these:
  • Infrastructure as Code tools
  • CI/CD pipelines and tools
  • Python for analytics (numpy, pandas, matplotlib etc) and automation
• Strong drive towards standardizing and documenting our approach and solutions
• Excellent written and verbal communication skills

Benefits

• 100% remote work
• Equitable Life - Hybrid Plan
• 100% Premium Coverage for the employee and dependents
• Competitive phantom equity
• Long-Term Disability
• 4% Pension match (employer contribution)
• Unlimited Vacations
• Sick Leave 
• Paid Holidays 
• Parental Leave
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Base Salary Range: The expected base salary range for this position is CAD $180,000 - $202,000 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

Caylent is a place where everyone belongs.  We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.   

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.