Principal Data Architect
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.
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
- 100% remote work
- Equitable Life - Hybrid Plan
- 100% Premium Coverage for the employee and dependents
- Competitive phantom equity
- Long-Term Disability
- 4% Pension match (employer contribution)
- Unlimited Vacations
- Sick Leave
- Paid Holidays
- Parental Leave
- 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
Base Salary Range: The expected base salary range for this position is CAD $180,000 - $202,000 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.
This role may require up to 25% travel, depending on business needs.
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