Posted on: 22/05/2026
Description :
Senior Manager Data Engineering
Location : Noida | Work from Office (5 Days)
Must-Have Requirements :
Education : IIT / NIT (Tier-1 institutes preferred)
Experience : 12+ years in Data Engineering / Data Architecture
- Strong expertise in GCP (BigQuery) and AWS ecosystem
- Hands-on with Kafka/MSK, Debezium, CDC pipelines
- Experience building and scaling data platforms from scratch
- Strong programming in Java & Python
- Expertise in BigQuery, Redshift, NoSQL systems
- Experience with Airflow, Iceberg, Glue, Athena
- Deep understanding of data lakes, streaming vs batch architectures
About the Company :
A high-growth fintech and enterprise data platform organization operating at massive scale, enabling real-time analytics, AI, and data-driven decision-making for mission-critical systems.
Role Overview :
We are looking for a Senior Manager Data Engineering to lead and scale a next-generation data platform. This role will drive the architecture and execution of real-time data systems, data lakes, and analytics infrastructure across cloud environments.
You will take ownership of an already established data ecosystem and elevate it to higher levels of scale, reliability, and innovation.
Key Responsibilities :
- Own and scale data lake & OLAP ecosystems (real-time to analytics layer)
- Lead development of real-time data pipelines using Kafka/MSK, Debezium (CDC), and BigQuery
- Drive end-to-end delivery of data engineering projects
- Build and enhance frameworks using Java & Python
- Design scalable data lakes using S3, Iceberg, Glue, Athena
- Define and enforce data modeling standards (BigQuery, Redshift)
- Lead cloud-native architecture (GCP + AWS) using ECS/EKS, Terraform, Docker
- Collaborate with ML, product & business teams for advanced analytics use cases
- Ensure data quality, governance, lineage, and observability
- Mentor and lead high-performing data engineering teams
Good to Have :
- Exposure to dbt, Pinot, Trino/Presto, ClickHouse, Druid
- Experience with data security (GDPR, PCI compliance)
- Knowledge of CI/CD, Terraform, DevOps practices
- Fintech / financial services background
What Were Looking For :
- Strong ownership mindset someone who acts like a CEO
- Ability to drive large-scale systems with business impact
- Excellent stakeholder management & leadership skills
- Passion for building scalable, future-ready data platforms
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1638136