Engineering Manager - Data (San Miguel de Tucumán)

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 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 Pay in USD Generous holidays and versátil PTO Paid for exams and certifications Peer bonus awards State of the art laptop and tools Equipment & Office Stipend 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. 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 . 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 . #J-*****-Ljbffr Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qjurr