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!

About the Job

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.

Responsibilities

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

Medical Insurance for you and eligible dependents
100% remote work
401k plan with company match up to 4% and immediate vesting
Competitive phantom equity
Company issued laptop
Dental and Vision insurance
Term Disability Insurance
Term Life Insurance
Flexible Spending Account
Equipment & Office Stipend
Annual stipend for Learning and Development
Unlimited Paid Time Off, following a 90-day probationary period
10 Paid Holidays

Base Salary Range: The expected base salary range for this position is $165,000 - $185,000 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

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].

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