Principal Data Architect

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production. Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. 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! About the Job 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. Responsibilities 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: 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 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) Traditional Data (At least 2): New Data (at least 2): 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 Generous holidays and flexible PTO Competitive phantom equity 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 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…