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!

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. 

• 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 

• 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