Principal Data Architect - Not an Active Opening, Building Talent Pipeline

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 and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between. At Caylent, our people always come first. We are a global company and operate fully remote 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 Requirements At least 4 years of experience in AWS data landscape 10 years of experience designing and building complex data systems as well as experience in these areas: Traditional Data (At least 2): Relational database design, optimization and migration Data modeling for both transactional and analytics systems including implementation of industry standard data models BI dashboards and visualizations Data Governance and MDM New Data (at least 2): Big data processing using Spark, Streaming solutions, and NoSQL Machine Learning and MLOps with proficiency in Sagemaker GenAI Foundational Models as well as approaches and frameworks used in conjunction with them with proficiency in Bedrock. DataOps practices (Infrastructure as Code, Data Testing, Data Versioning,etc) 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 - $ 223,000 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. This role may require up to 25% travel, depending on business needs. NOTE: We’re unable to provide visa sponsorship now or at any time in the future. At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact [email protected] 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 [email protected].

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