Big 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 and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first.  We are a global company and operate fully remote 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 an exceptional Big Data Architect to join our growing Cloud Data Engineering team. The right candidate is someone who has deep expertise in data architecture and is passionate about working with our customers, partners, and colleagues to drive innovation forward.

Your mission will be to work alongside Caylent's Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You'll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies,CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Key Responsibilities

• Guide architectural choices and ensure technical viability.
• Communicate clearly with stakeholders on solution decisions.
• Ensure performance, security, and scalability in designs.
• Produce architectural documentation and technical assessments.

Required Technical Competencies

• Proficient in the end-to-end data platform lifecycle, with the ability to design complex data solutions independently, deploy enterprise data platforms in production, build DataOps systems in AWS, and architect data lakes using Delta Lake and advanced optimization patterns.
• Solid experience architecting data warehouses with advanced security, multi-tenant models, PII masking, and enterprise BI solutions with strong governance and Data-as-a-Product patterns.
• Hands-on experience optimizing Spark/PySpark at scale, including key skew handling and dynamic partitioning strategies.
• Solid experience in designing advanced streaming architectures with load balancing, fault tolerance, and cross-system integrations.
• Experience with scalable AWS architectures and IaC standards.
• Expert-level in Python for distributed or event-driven systems.
• Solid experience with architecture assessments and cost estimations.
• Solid experience enforcing technical standards and documentation quality.

Preferred Qualifications

• Experience with data mesh, dbt, and governance tooling knowledge.
• Experience with emerging technologies (e.g., real-time analytics, IoT).
• Prior consulting/professional services experience.
• AWS certifications (Professional/Specialty).
• Bachelor's/Master's degree in a related field.

Experience Requirements

• 6+ years designing big data solutions.
• 3+ years of AWS architecture experience.

Language

• Advanced English (minimum C1).

Benefits 

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• 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

This role may require up to 25% travel, depending on business needs.

NOTE: We're unable to provide visa sponsorship now or at any time in the future.

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  

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

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