Principal Data Architect

United StatesUnited Stateslead
Data EngineeringData ArchitectData & AI
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Quick Summary

Requirements Summary

Traditional Data (At least 2): Relational database design,

Technical Tools
Data EngineeringData ArchitectData & AI

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!

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

Requirements

~1 min read
  • 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

What We Offer

~2 min read
Medical Insurance for you and eligible dependents
401k plan with company match up to 4% and immediate vesting
Competitive phantom equity
Company issued laptop
Dental and Vision insurance
Term Disability Insurance
Term Life Insurance
Flexible Spending Account
Equipment & Office Stipend
Annual stipend for Learning and Development
Unlimited Paid Time Off
10 Paid Holidays

Location & Eligibility

Where is the job
United States
On-site within the country
Who can apply
US
Listed under
United States

Listing Details

First seen
April 6, 2026
Last seen
April 27, 2026

Posting Health

Days active
20
Repost count
0
Trust Level
36%
Scored at
April 27, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Caylent
Caylent
greenhouse

Caylent is a next-generation cloud services company that helps organizations adapt with speed and drive intelligent growth by leveraging their AI and AWS expertise. As an AWS Premier Tier Services Partner, they deliver innovative, scalable, and secure cloud solutions.

Employees
750
Founded
2015
View company profile

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CaylentPrincipal Data Architect