Principal Data Architect

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!

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

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

Caylent employs full-time, full-benefit CLT in Brazil.

• 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: This position requires current legal authorization to work in the country where this position is located. Caylent is not able to sponsor visa or work permit applications at this time.