Job
Description
About the Role: We are looking for a Senior Engineering Manager with 10+ years of experience and 2 years of people management experience to help scale and modernize Myntra's data platform. The ideal candidate will have a strong background in building scalable data platforms using a combination of open-source technologies and enterprise solutions. The role demands deep technical expertise in data ingestion, processing, serving, and governance, with a strategic mindset to scale the platform 10x to meet the ever-growing data needs across the organization. This is a high-impact role requiring innovation, engineering excellence and system stability, with an opportunity to contribute to OSS projects and build data products leveraging available data assets. Key Responsibilities: Design and scale Myntra's data platform to support growing data needs across analytics, ML, and reporting. Architect and optimize streaming data ingestion pipelines using Debezium, Kafka (Confluent), Databricks Spark and Flink. Lead improvements in data processing and serving layers, leveraging Databricks Spark, Trino, and Superset. Good understanding of open table formats like Delta and Iceberg. Scale data quality frameworks to ensure data accuracy and reliability. Build data lineage tracking solutions for governance, access control, and compliance. Collaborate with engineering, analytics, and business teams to identify opportunities and build / enhance self-serve data platforms. Improve system stability, monitoring, and observability to ensure high availability of the platform. Work with open-source communities and facilitate contributing to OSS projects aligned with Myntras tech stack. Implement cost-efficient, scalable architectures for handling 10B+ daily events in a cloud environment. Management Responsibilities: Technical Guidance : This role will play the engineering lead role for teams within Myntra Data Platform. You will provide technical leadership to a team of excellent data engineers; this requires that you have the technical depth to make complex design decisions and the hands-on ability to lead by example. Execution and Delivery : You will be expected to instill and follow good software development practices and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as be able to adapt these to the needs of the business, with a constant focus on product quality. Team management : You will be responsible for hiring and mentoring your team; helping individuals grow in their careers, having constant dialogue about their aspirations and sharing prompt, clear and actionable feedback about performance. Qualifications: Education: Bachelor's or Masters degree in Computer Science, Information Systems, or a related field. Experience: 10+ years of experience in building large-scale data platforms. 2+ years of people management experience. Expertise in big data architectures using Databricks, Trino, and Debezium. Strong experience with streaming platforms, including Confluent Kafka. Experience in data ingestion, storage, processing, and serving in a cloud-based environment. Experience implementing data quality checks using Great Expectations. Deep understanding of data lineage, metadata management, and governance practices. Strong knowledge of query optimization, cost efficiency, and scaling architectures. Familiarity with OSS contributions and keeping up with industry trends in data engineering. Soft Skills: Strong analytical and problem-solving skills with a pragmatic approach to technical challenges. Excellent communication and collaboration skills to work effectively with cross-functional teams. Ability to lead large-scale projects in a fast-paced, dynamic environment. Passion for continuous learning, open-source collaboration, and building best-in-class data products.
