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Principal Data Architect

extra parental leave

Remote:

Full Remote

Experience:

Expert & Leadership (>10 years)

Work from:

Brazil

Offer summary

Qualifications:

10 years of experience in data technologies, 4+ years experience in AWS data landscape, Expertise in relational databases, big data, and ML, Strong skills in Python and CI/CD tools.

Key responsabilities:

Define strategic roadmaps for clients
Lead design of cloud-based data solutions

Caylent Scaleup https://caylent.com/

201 - 500 Employees

See more Caylent offers

Job description

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

Your Qualifications

At least 4 years of experience in AWS data landscape
10 years of experience in at least four of these areas:
- Relational database design, optimization and migration
- Data modeling for both transactional and analytics systems including implementation of industry standard data models
- Big data processing using Spark, Streaming solutions, and NoSQL
- Machine Learning and MLOps with proficiency in Sagemaker
- BI dashboards and visualizations
- Data Governance and MDM
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

100% remote work
Private Health Insurance
Flexible Time Off
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

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.