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Data

Principal Data Architect

Caylent · Brazil · full-time · Remote

Datafull-timeRemoteBrazil
Data Science & AnalyticsSenior
RemoteJobs editorial overview

Strategic Overview

Principal Data Architect at Caylent is defined by the responsibilities and candidate requirements in the employer's listing.

The published role emphasizes work such as Define strategic roadmaps and targeted outcomes for our clients in a consultative capacity.

The role is listed for Brazil with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusData
LocationBrazil
WorkplaceRemote
Employmentfull-time
ExperienceAt least 4 years of experience
PostedNov 4, 2026
Last seenNov 4, 2026
Role context

About This Role

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…

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!

What the role delivers

Key Responsibilities & Objectives

  • 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
  • Individual professional development plan
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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:
  • Experience with at least two of these:
  • Strong drive towards standardizing and documenting our approach and solutions ● Excellent written and verbal communication skills
Compensation & benefits

Salary & Benefits

The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.

  • 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
Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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!

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.

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 secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Define strategic roadmaps and targeted outcomes for our clients in a consultative capacity — rather than a generic title alone.

Resume & Application Strategy

For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.

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We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.