Engineering Manager- Data Platform
Full-timeOn-siteLead
Job description
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 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
Skills
Frequently asked questions
- Can freshers apply for this role?
- Yes. Meesho has listed this role as open to freshers, so no prior work experience is required.
- What skills are required?
- The posting lists Python, Java, Go, Scala, AWS, Google Cloud, Kubernetes, Apache Spark, Apache Kafka, Airflow, Tableau, Stakeholder Management, Auditing and Team Leadership.
- Is this a remote job?
- No. Meesho has listed this role as on-site.
- Where is this job based?
- Bangalore, Karnataka. The role is on-site.
- What is the salary for this role?
- Meesho has not published a salary for this role. Pay is normally discussed during the hiring process.
- How do I apply?
- Use the “Apply on company site” button on this page. It opens Meesho’s own careers page, where the application is completed — LazyFreshers does not receive it.
- What is the last date to apply?
- Applications close on 5 Oct 2026.