Data Engineering Manager

Senior Manager - Data Engineering (Bangalore)Drive Date : July 4, 2026Selection 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.