Principal Data Architect

Caylent; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

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计划

Annual stipend for Learning and Dev

Job summary

Caylent is seeking a Principal Data Architect to lead cloud-based data solutions, guiding engagements from discovery through implementation. You will shape data strategy, mentor engineers, and drive standards across complex data environments.

This role emphasizes leadership in AWS data technologies, GenAI capabilities, and scalable data platforms across remote teams. The ideal candidate has deep AWS data experience, strong architecture skills, and a proven track record in data governance and

Qualifications

• Experience in AWS data landscape and cloud data technologies.
• 10+ years designing and building complex data systems across traditional and new data domains.
• Strong communication and stakeholder management skills.

Responsibilities

• Define strategic roadmaps and targeted outcomes for clients in a consultative capacity.
• Act as a data engineering SME to define engagements with pre-sales teams.
• Perform technical interviews for Architect and Engineer candidates and provide guidance to Architects/Engineers.
• Oversee development and implementation of data standards and operating procedures.

Skills

AWS data landscape

Data architecture

Data modeling

BI dashboards

Data governance

MLOps

GenAI Foundational Models

Sagemaker

DataOps

Python analytics

Tools

SageMaker

Bedrock

CI/CD tools

Terraform

Job description

the company 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 the company, 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 company 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 the company, 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

Benefitsthe company 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. the company is not able to sponsor visa or work permit applications at this time.

At the company, 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 [e-mail]

the company 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 the company.

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 [e-mail].