[C-319] | Principal Data Architect

[C-319] | Principal Data Architect

22 feb
|
Tbwa Chiat/Day
|
Xico

22 feb

Tbwa Chiat/Day

Xico

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 JobWe 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.
ResponsibilitiesDefine strategic roadmaps and targeted outcomes for our clients in a consultative capacityAct as a data engineering SME to define upcoming engagements working with our pre-sales teamsPerform technical interviews for Architect and Engineer candidates as well as provide technical guidance to Architects and EngineersOversee the development and implementation of data standards and operating proceduresRequirementsAt least 4 years of experience in AWS data landscape10 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 migrationData modeling for both transactional and analytics systems including implementation of industry standard data modelsBI dashboards and visualizationsData Governance and MDMNew Data (at least 2):Big data processing using Spark, Streaming solutions, and NoSQLMachine Learning and MLOps with proficiency in SagemakerGenAI 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 toolsCI/CD pipelines and toolsPython for analytics (numpy, pandas, matplotlib etc) and automationStrong drive towards standardizing and documenting our approach and solutionsExcellent written and verbal communication skillsBenefitsPrivate Health InsuranceFlexible Time OffPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureCaylent 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 ******.
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