Engineering Manager- Data Platform
Team: Data Engineering
Location: Bangalore, Karnataka
Workplace Type: onsite
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
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