
Engineering Manager, Data Platform
Learneo
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- 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
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringsystem designdata platform architecturereal-time data processingbatch data processingdata pipelinesETLELTbackend technologiesdistributed systems
Soft Skills
leadershipmentoringcommunicationcollaborationinnovationownershipcontinuous improvementtechnical guidanceperformance managementcross-functional teamwork