Engineering Manager - Data

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. 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 an Engineering Manager for our Cloud Data Engineering Practice. The right candidate is someone who is technically strong, can manage a team of Architects and Engineers, oversee data delivery engagements and is passionate about working with our customers, partners and employees to drive the business forward.

Your Assignment

Manage a team of 5 - 8 cloud engineers and architects

Interface with clients and internal teams to propose technical improvements using your cloud and engineering knowledge

Take on hands-on technical responsibilities, including technical tasks in sprints

Lead technical discussions with customers

Handle code reviews and pull request management

Manage task assignments within sprints

Perform technical leadership activities like roadmap and vision checks, best practices implementation, and risk identification

In-project mentoring (understand people on project & creation of growth opportunities) and sharing feedback for team members on the project

Technical accountability on the delivery

Kickoff new client engagements and act as a point of technical escalation

Develop and review proposals and contracts and present these to clients

Perform technical interviews for Architect and Engineer candidates

Perform weekly 1:1s with your direct reports and guide their career development

Your Qualifications

Strong experience in AWS data landscape

Expertise in at least two major areas of Cloud Data Engineering:

Relational database design, optimization and migration

Big data processing using Spark, Hadoop, EMR etc

Machine Learning and MLOps

Advanced analytics using time series forecasting, descriptive and inferential statistics

BI dashboards and visualizations

Data Governance and MDM

Experience with most of these:

Infrastructure as Code tools

CI/CD pipelines

Application modernization and migration with a strong focus on databases

Excellent written and verbal communication skills

Benefits

Pay in USD

100% remote work

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

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.

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 talent@caylent.com

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.