About the Role We are looking for a seasoned Engineering Manager to lead our Data Platform You will own the architecture and evolution of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform enabling real-time decision-making across the organization In this role you will drive consistency and quality by defining the right engineering strategies You will oversee multiple engineering projects ensure timely execution collaborate across functions and mentor engineers to grow into high-performing contributors What You Will Do Drive technical roadmap and architecture for driving efficiency across the platform along with automated data governance Define and monitor SLOs SLAs for data availability latency and quality across real-time and batch pipelines Drive excellence in engineering quality and lead solutioning for complex product problems Collaborate with Analytics Data Science and Product teams to drive adoption of the Self-Serve Platform and reduce time to high quality insights Champion robust data security standards including RBAC PII masking and encryption to ensure DPDP compliance in a democratized data environment Manage engineers end-to-end taking ownership of project delivery and product scalability Conduct regular planning review and retrospective meetings Create and present progress reports for ongoing projects and initiatives What You Will Need Bachelor s or Master s degree in Computer Science or a related field 8 years of overall qualified experience 2 years of experience managing software development teams Experience managing a high-performing team of engineers with varying seniority Proven ability to develop and implement distributed systems and platforms at scale Expertise in Scala Java Python or Go Proficiency in Apache Spark and its core architecture including platform-based optimization on Spark batch and streaming workloads Deep experience with Open Table Formats like Delta Lake Apache Iceberg or Apache Hudi Deep understanding of transactional and NoSQL databases Knowledge of messaging systems especially Kafka Hands-on experience with cloud infrastructure preferably GCP AWS Good understanding of streaming and real-time data pipelines Expertise in data modeling data quality and utilizing data validation tools is essential Proficiency in Business Intelligence BI tools including but not limited to Tableau Metabase and Superset Proficiency in Real-time OLAP engines Apache Pinot Apache Druid or ClickHouse and Stream Processing Apache Flink or Spark Streaming Good to Have Experience managing infrastructure utilizing Kubernetes and Helm Understanding of workflow orchestration utilizing Apache Airflow etc Experience designing dynamic DAGs managing backfills and optimizing scheduler performance at scale Experience managing infrastructure components utilizing Kubernetes and Helm Experience implementing centralized data access control layers e g Apache Ranger and auditing frameworks Leadership Collaboration Ability to drive sprints and OKRs effectively Strong stakeholder management and cross-functional collaboration skills Exceptional people management and mentorship capabilities Why Join Meesho Work on data systems at massive scale impacting millions of users Own and influence core data infrastructure powering one of India s fastest-growing platforms Collaborate with smart driven engineers and leaders in a high-ownership culture Opportunity to shape technology people and processes in a rapidly evolving ecosystem We may use artificial intelligence AI tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses These tools assist our recruitment team but do not replace human judgment Final hiring decisions are ultimately made by humans If you would like more information about how your data is processed please contact us

📌 Engineering Manager- Data Platform (Karnataka)
🏢 Meesho
📍 Karnataka