Engineering Manager, Data Platform

Location: India

Department: Weekday's Client via platform

Workplace: remote

Employment Type: full

Description

This role is for one of the Weekday's clients

Min Experience: 7 years

Location: Remote (India)

JobType: full-time

Department: R&D Engineering Team: Platform Engineering

We are seeking an experienced Engineering Manager—Data Platform to oversee and expand QuillBot’s data infrastructure that supports our product, AI, and growth efforts. Serving over 60M+ users, our data platform plays a vital role in enabling product intelligence, experimentation, usage tracking, and lifecycle marketing.

This position is both technical and strategic—you will lead architectural decision-making, develop high-performance systems, and manage a team of engineers to deliver a dependable, scalable, and cost-effective data platform. Additionally, you will treat the platform as an internal product, ensuring it meets the usability and value needs of cross-functional teams.

Requirements

Key Responsibilities

Technical Leadership & Architecture

• Take ownership of the data platform’s architecture and its ongoing development to support both large-scale real-time and batch data processing.
• Design systems focused on analytics, experimentation, event tracking, and usage metering.
• Maintain high standards for scalability, reliability, performance, and data quality.
• Promote best practices in data engineering, system design, and observability.

Team Leadership & Development

• Build, guide, and manage a high-performing team of data and platform engineers.
• Cultivate a culture that values ownership, innovation, and continuous improvement.
• Offer technical mentorship, support career growth, and oversee performance management.

Cross-functional Collaboration

• Work closely with the Product, AI, Growth, and Marketing teams to understand their data requirements and translate them into scalable solutions.
• Facilitate data-driven decision-making processes across the organization.

Platform as a Product

• Enhance the developer experience and usability of the data platform for internal users.
• Set and monitor platform KPIs, including adoption rates, reliability, and performance metrics.

Performance & Cost Optimization

• Optimize infrastructure to maximize cost efficiency and performance at scale.
• Continuously assess tools, technologies, and processes to improve return on investment.

Generative AI and Automation

• Support AI research efforts by providing data for both training purposes and capability enhancement.

Required Qualifications

• A minimum of 7 years’ experience in software or data engineering, including at least 2 years in engineering management.
• Strong technical expertise and architectural judgment.
• Extensive experience in building and scaling data platforms or distributed systems.
• Hands-on knowledge of backend technologies such as Node.js and the JavaScript ecosystem.
• Practical experience with systems like Spark, streaming technologies, and data pipelines.
• Deep understanding of data pipelines, ETL/ELT processes, and analytics systems.
• Experience working with cloud platforms (AWS, GCP, Azure) and modern data stack tools.
• Proven ability to make architectural trade-offs and lead major technical initiatives.
• Excellent communication skills with a track record of effective cross-functional collaboration.

Preferred Qualifications

• Experience supporting AI/ML projects, experimentation platforms, or growth analytics.
• Familiarity with frontend technologies such as React.js for developing internal tools or dashboards.
• Experience managing data systems at consumer scale (millions of users).

A strong understanding of data governance, privacy, and compliance practices.

Skills

JavaScript

NodeJS

Streaming

Pipelines

Spark