Senior Manager - Data Engineering (Bangalore)

Drive Date : July 4, 2026

Selection Process : Online Technical Test followed by Face-to-Face Interview (Same Day Drive)

Role Summary :

We are hiring a Senior Manager - Data Engineering responsible for designing, building, and scaling enterprise-grade data platforms. The role demands deep hands-on expertise in distributed data systems along with strong engineering leadership. The candidate must be ready to appear for an online technical assessment followed by an in-person interview in Bangalore on July 4, 2026. This role follows an 80% technical contribution and 20% leadership responsibility model, requiring strong coding, architecture design, and team ownership capabilities.

Key Responsibilities :

1. Data Platform Architecture & Design :

- Design and develop scalable, high-performance data pipelines and data platforms.

- Build distributed systems architecture using AWS / GCP cloud-native services.

- Define data ingestion, processing, transformation, and serving layers.

- Architect solutions for batch and near real-time data processing systems.

- Ensure high availability, fault tolerance, and cost optimization.

2. Data Engineering & Development (Hands-on) :

- Write and review high-quality production-grade code in Scala or Python.

- Build and optimize Apache Spark-based ETL pipelines.

- Work extensively on Hadoop ecosystem (HDFS, YARN, MapReduce).

- Develop and optimize SQL queries for large-scale (TB+ data) processing.

- Implement data warehousing solutions using BigQuery or equivalent.

- Work on Databricks-based data processing frameworks (preferred).

3. System Design & Performance Optimization :

- Design Low-Level Design (LLD) for data components and services.

- Drive High-Level Design (HLD) for scalable distributed systems.

- Optimize systems for performance, cost efficiency, scalability, and reliability.

- Identify and resolve bottlenecks in data pipelines and processing frameworks.

4. Engineering Leadership :

- Lead and mentor data engineering teams.

- Drive technical direction and architecture decisions.

- Manage end-to-end delivery ownership for critical projects.

- Conduct code reviews and enforce engineering best practices.

- Build a culture of engineering excellence and accountability.

5. Stakeholder Management & Delivery Ownership :

- Collaborate with product managers, business stakeholders, and data scientists.

- Translate business requirements into technical architecture and execution plans.

- Own project planning, prioritization, and delivery timelines.

- Communicate technical solutions and trade-offs clearly to leadership.

- Ensure on-time delivery of scalable data solutions.

Mandatory Skills :

- Strong programming in Scala or Python.

- Advanced Apache Spark development.

- Strong knowledge of ETL pipelines & Data Warehousing.

- Experience with AWS or GCP cloud platforms.

- Expertise in SQL tuning for large datasets.

- Strong knowledge of distributed data systems.

- Strong system design (HLD & LLD).

Ideal Candidate Profile :

- 10-15 years of experience in Software/Data Engineering.

- 3-5 years of experience leading engineering teams.

- Hands-on architect with continued coding involvement.

- Experience in Product-based, E-commerce, Analytics, or Data Platform organizations.

- Strong exposure to large-scale distributed systems and cloud-native architectures.

- Demonstrates a balance of 80% technical depth and 20% leadership ownership.

Drive Instructions :

- Candidates must be available in Bangalore for the F2F drive on July 4, 2026.

- They must complete an online technical assessment prior to the drive day.

- The L2 and L3 interviews will be conducted F2F on the same day, July 4, 2026.

- Strong preference will be given to candidates who are currently hands-on in coding, architecture, and system design.