Engineering Manager - Data Platform

This role leads a high-performing engineering team focused on building scalable, fault-tolerant data solutions for cloud and on-premise environments. You will be responsible for driving both technical excellence and team development while ensuring delivery of reliable, high-quality data platforms that support mission-critical applications. The role combines hands-on engineering, leadership, and strategic decision-making to optimize performance, reliability, and innovation across Big Data, MySQL, and modern analytics systems. You will collaborate with cross-functional teams, mentor engineers, and implement best practices in software development and operations. Success in this role requires technical depth, strong people management skills, and the ability to foster a collaborative, innovative, and accountable engineering culture. Accountabilities:

• Lead, mentor, and develop a team of engineers, fostering a culture of collaboration, accountability, and technical excellence
• Oversee the design, development, and delivery of scalable data platforms, including Big Data and MySQL solutions
• Contribute directly to code and technical solutions as required, maintaining hands-on engineering involvement
• Set expectations and communicate effectively with senior management, cross-functional teams, and external stakeholders
• Drive adoption of agile methodologies and modern software development practices across the team
• Ensure delivery of high-quality products that meet user needs and operational requirements
• Collaborate with leadership to establish organizational processes, operational frameworks, and engineering best practices

• Strong software engineering background, ideally with Python and Golang experience
• Experience building and operating production-grade data platforms at scale, preferably in Big Data or MySQL environments
• Proven ability to build, mentor, and develop engineering teams with a focus on technical growth and collaboration
• Strong judgment in evaluating people, processes, and technologies, with an open-minded approach to innovation
• Track record of delivering high-quality software with a focus on performance, reliability, and maintainability
• Knowledge of modern cloud, containerized, and distributed system architectures (e.g., Kubernetes)
• Additional experience with Spark, Superset, or other relevant data technologies is a plus
• Familiarity with open-source contributions and collaborative community-driven development

• Competitive base pay with annual compensation reviews and potential performance-based bonuses
• Fully remote working environment with opportunities for global collaboration and biannual in-person events
• Personal learning and development budget of $2,000 per year
• Generous annual holiday leave, parental leave, and employee assistance programs
• Recognition rewards program and career growth opportunities
• Travel benefits, including Priority Pass for long-haul company events
• Flexible working arrangements promoting work-life balance and professional development