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# Principal Data Architect

AI Summary Caylent is seeking a Principal Data Architect to lead the design and delivery of complex AWS-based data and analytics solutions for clients. The role combines hands-on architectural leadership, consulting, pre-sales engagement definition, technical interviewing, and mentorship of architects and engineers. Candidates need extensive experience designing complex data systems, including AWS data services, data modeling, governance, big-data processing, ML/MLOps, GenAI, and DataOps. This is a Brazil-based full-time CLT position with 100% remote work and up to 25% business travel. Success requires strong technical standardization, documentation, and client-facing communication skills.[Apply for this job](#job-application)[View company](https://jobicy.com/company/caylent.md)ShareRemote from[Brazil](https://jobicy.com/job-region/brazil.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished4 Nov 2026Apply before4 Dec 2026Listing views35Application actions2Application toolkit

## Make your next move.

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Opportunity details

## 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 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.

Show more

[Apply now >](https://jobicy.com/jobs/158923-principal-data-architect.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

*

![Upload CV](data:image/svg+xml;base64,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)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a principal-level consulting architecture role requiring more than a decade of complex data-systems experience and broad expertise across traditional and modern data platforms. The incumbent must make strategic client decisions, shape pre-sales engagements, establish standards, and provide technical leadership across teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$175,000US market range (per year)$145k–$210k0$231.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD market estimate are inferred for a principal-level cloud data architecture role; actual Brazil CLT compensation may differ based on location, benefits, and engagement scope.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[AWS data architecture](https://jobicy.com/jobs?search_keywords=AWS%20data%20architecture.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Master data management](https://jobicy.com/jobs?search_keywords=Master%20data%20management.md)[Relational databases](https://jobicy.com/jobs?search_keywords=Relational%20databases.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Streaming data systems](https://jobicy.com/jobs?search_keywords=Streaming%20data%20systems.md)[NoSQL databases](https://jobicy.com/jobs?search_keywords=NoSQL%20databases.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Amazon SageMaker](https://jobicy.com/jobs?search_keywords=Amazon%20SageMaker.md)[Amazon Bedrock](https://jobicy.com/jobs?search_keywords=Amazon%20Bedrock.md)[DataOps](https://jobicy.com/jobs?search_keywords=DataOps.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[CI/CD pipelines](https://jobicy.com/jobs?search_keywords=CICD%20pipelines.md)

Sample interview questionsHow would you create a data architecture roadmap for a client moving from fragmented legacy data systems to AWS?I would begin with stakeholder interviews, workload and data-flow discovery, and an assessment of security, governance, quality, cost, and operational maturity. I would define target-state architecture and prioritized migration waves, then link each phase to measurable business outcomes, risks, ownership, and a delivery plan.

How do you decide between a transactional data model and an analytics-oriented model?

I start with access patterns, consistency needs, latency requirements, data volume, and user workloads. Transactional systems generally favor normalized models and strong integrity controls, while analytics platforms commonly use dimensional, denormalized, or lakehouse-oriented models optimized for large-scale querying and reporting.

Describe how you would implement governance and data quality controls in a cloud data platform.

I would establish clear ownership, a catalog and lineage approach, data classifications, access policies, retention rules, and quality service-level objectives. Automated validation tests, monitoring, version-controlled transformations, and documented remediation workflows would make those controls operational rather than purely policy-based.

What factors would you evaluate when designing a streaming data solution on AWS?

I would evaluate event volume, ordering and delivery guarantees, acceptable latency, schema evolution, retention, replay needs, downstream consumers, security, and operating cost. The design should include observability, dead-letter handling, idempotent processing, and a clear approach to scaling and failure recovery.

How would you enable a team to use GenAI capabilities responsibly within a data platform?

I would identify high-value use cases, define guardrails for sensitive data, access, prompt handling, evaluation, and human review, and select models based on performance and cost. I would also implement monitoring for quality and safety, document approved patterns, and create reusable components that teams can adopt consistently.

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