**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.

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