Principal Data Architect
Caylent · MEXICO ·
- Work mode
- Remote
- Seniority
- Principal
- Category
- Architecture
- Experience
- 4+ years
- Visa sponsorship
- No
Caylent · MEXICO ·
agilent · Singapore-Yishun
ArchLynk · India
Toplent · Buenos Aires, Argentina
agilent · US-DE-Wilmington
Leads design and implementation of complex cloud-based data solutions on AWS for Caylent's clients in a consultative capacity, acting as a data engineering SME for pre-sales, interviewing candidates, and mentoring architects and engineers. Centers on AWS data/analytics: Spark, SageMaker, Bedrock, IaC, CI/CD, and Python.
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!
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
Requirements
○ 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)
○ Infrastructure as Code tools
○ CI/CD pipelines and tools
○ Python for analytics (numpy, pandas, matplotlib etc) and automation
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 [email protected]
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 [email protected].RAVL · Toronto