Engineering Manager - Data

Hackerrank; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Dormont Manufacturing Co is seeking an Engineering Manager - Data in Bengaluru, India. In this high-ownership role, you will lead our Data Engineering team, defining the technical vision for our data platform. Your responsibilities include driving the technical roadmap, building scalable systems, and mentoring engineers to achieve their best potential.

The ideal candidate has over 8 years in software development, including 2 years in engineering leadership, with a strong knowledge of cloud-native architectures and data strategy execution.

Qualifications

• 8+ years of software development experience with 2+ years in engineering leadership.
• Strong skills in architecture and system design.
• Hands-on experience in building backend systems and data pipelines.
• Deep understanding of cloud-native architectures, especially AWS.
• Experience with data strategy execution for SaaS products.

Responsibilities

• Own and drive the technical roadmap for the Data Engineering team.
• Execute product plans and manage delivery commitments.
• Architect and build scalable backend systems.
• Design and implement data warehouses and strategies.

Skills

Software development experience

Engineering leadership

Architecture and system design

Cloud-native architectures

Data strategy execution

Technical leadership

Tools

Kafka

Spark

Python

Kubernetes

Docker

Job description

About the role:

As Engineering Manager - Data, you will lead and grow our Data Engineering team while defining the technical vision for our data platform. You’ll build scalable, reliable systems that power analytics, experimentation, AI models, and executive decision-making across the company.

This is a high-ownership leadership role combining platform architecture, data strategy, and team building.

What you’ll do

• Own and drive the technical roadmap for the Data Engineering team, planning and delivering on a quarterly basis
• Execute product plans and manage delivery commitments with a strong focus on quality and timelines
• Architect and build scalable backend systems, data pipelines, and infrastructure components aligned with 12‑factor app principles
• Design and implement robust data warehouses and data strategies for SaaS products
• Define clear quarterly goals for the team and guide execution to achieve measurable outcomes
• Mentor engineers and help them deliver to the best of their abilities
• Set clear career paths for team members and support their professional growth
• Lead technical discussions and help engineers make critical architectural and design decisions
• Partner closely with the Product team to develop and curate the data and platform roadmap

Who you are

• 8+ years of software development experience with 2+ years of engineering leadership experience
• Strong architecture and system design skills with experience building large‑scale web services
• Hands‑on experience designing and developing backend systems, data pipelines, and infrastructure components
• Deep understanding of cloud‑native architectures, especially AWS
• Experience designing and building data warehouses
• Experience in defining and executing a Data Strategy for SaaS products
• Strong technical leadership with the ability to drive critical technical discussions

Even better if you have

• Knowledge of Kafka, Spark, and related data technologies
• Experience with Python, Kubernetes, Docker, and modern deployment technologies

You will thrive in this role if you

• Enjoy balancing hands‑on technical contributions with people leadership
• Think strategically about long‑term platform scalability while delivering short‑term results
• Comfortable operating in fast‑paced, evolving environments
• Take ownership end‑to‑end from roadmap definition to execution and team growth

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.