Engineering Manager - Data Platform (10-14 yrs)

Responsibilities :

- Lead and mentor a team of data and platform engineers, fostering a culture of collaboration and innovation.

- Manage team performance, including sprint planning, roadmap development, hiring, onboarding, mentoring, and performance reviews.

- Oversee the design, development, and maintenance of sophisticated data pipelines, data streams, and data storage solutions.

- Drive platform development processes from concept to execution and optimization.

- Collaborate with Product Management, DevOps, QA, and other teams to ensure seamless integration and delivery.

- Manage project costing and documentation.

- Champion secure development processes and practices.

- Promote awareness of information security concepts and best practices within the team.

- Provide technical guidance and expertise to the team.

- Contribute to the overall technical strategy and roadmap for data and platform engineering.

Requirements :

- Bachelor's / Master's Degree with minimum 10+ years of overall professional experience and minimum 3+ years' experience in managing/leading software development teams.

- Proven understanding or hands-on experience in data engineering, including the creation and management of sophisticated data pipelines, data streams, and data storage solutions.

- In-depth understanding of platform development processes, from the initial concept through to the execution and optimization stages.

- Talent for mentoring and developing a team's skills in data engineering and platform development is required.

- Proven experience in working with AWS services like S3 and Athena for data storage and query services, respectively.

- Extensive experience in building high-performing APIs using Python and/or Java and proven history of developing common libraries.

- Solid hands-on experience with Kafka for streaming data services and Spark Jobs for batch processing is crucial.

- History of effectively navigating and managing the unique challenges and opportunities presented by data and platform engineering projects.

- Proficiency in both functional and object-oriented programming paradigms is required.

- Proven experience with at least one of the cloud computing infrastructures - GCP / Azure / AWS

- Familiarity and MongoDB is a plus.

- Liaising with Product Management, DevOps, QA, and other teams.

- Performance management, Sprint management, Roadmap, Hiring, Onboarding, Mentoring, Costing, Documenting.

- Awareness of Secure Development processes and practices.

- Awareness of Information Security concepts and Best Practices.