Principal Data Architect

Confirmed live in the last 24 hours

Caylent

Compensation

$70,000/year

USA

Remote

Posted April 6, 2026

Job Description

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