Engineering Manager, Data Platform

360 Social Agency

Engineering Manager leading and scaling Quillbot’s data infrastructure for AI and product intelligence initiatives. Experienced in data engineering and capable of managing a team of engineers.

Posted 5/25/2026full-timeRemote • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformJavaScriptNode.jsSpark

About the role

Key responsibilities & impact

Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing.
Design systems for analytics, experimentation, event tracking, and usage metering.
Ensure high standards of scalability, reliability, performance, and data quality.
Drive best practices in data engineering, system design, and observability.
Build, mentor, and lead a high-performing team of data and platform engineers.
Foster a culture of ownership, innovation, and continuous improvement.
Provide technical guidance, career development, and performance management.
Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them into scalable solutions.
Enable data-driven decision-making across the organization.
Improve the developer experience and usability of the data platform for internal teams.
Define and track platform KPIs such as adoption, reliability, and performance.
Optimize infrastructure for cost efficiency and performance at scale.
Continuously evaluate tools, technologies, and processes to improve ROI.
Supporting AI research with data, both for training and capabilities.

Requirements

What you’ll need

7+ years of experience in software/data engineering, with 2+ years in engineering management.
Strong technical depth + architecture judgment
Strong experience building and scaling data platforms or distributed systems
Hands-on experience with backend technologies like Node.js and JavaScript ecosystems
Real experience with systems like Spark, streaming, pipelines
Solid understanding of data pipelines, ETL/ELT processes, and analytics systems
Experience with cloud platforms (AWS/GCP/Azure) and modern data stack tools.
Proven ability to make architectural trade-offs and lead large technical initiatives.
Strong communication skills with experience working cross-functionally across business teams

Benefits

Comp & perks

Competitive salary and annual bonus
Medical coverage
Life and accidental insurance
Vacation & leaves of absence (menstrual, flexible, special, and more!)
Developmental opportunities through education & developmental reimbursements & professional workshops
Maternity & parental leave
Hybrid & remote model with flexible working hours
On-site & remote company events throughout the year
Tech & WFH stipends & new hire allowances
Employee referral program
Premium access to Quillbot

ATS Keywords

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Hard Skills & Tools

data engineeringdata platform architecturereal-time data processingbatch data processingdata pipelinesETLELTNode.jsJavaScriptSpark

Soft Skills

leadershipmentoringcommunicationcollaborationinnovationownershipcontinuous improvementtechnical guidanceperformance managementcross-functional teamwork