Engineering Manager- Data Platform

Engineering Manager- Data Platform

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 professional 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

Experience Level

Senior Level