Engineering Manager (Data Engineering)

About this job

Quince is looking for an Engineering Manager for Data Engineering to lead its Data Products team in Bengaluru. Quince operates on a unique manufacturer-to-consumer model that eliminates traditional retail layers by using proprietary technology, AI, and analytics to scale fast. In this delivery-heavy leadership role, you will manage the engineers who own the ETL pipelines and curated datasets across core business domains. A normal day involves overseeing the end-to-end dataset lifecycle—including data modeling, reliability, documentation, and cost management. You will guide a team of domain-embedded data engineers, establish strict quality standards, and act as the primary engineering partner for Analytics, Product, and Marketing leaders to turn complex upstream systems into trustworthy data products.

Responsibilities

• Lead, grow, and develop a team of data engineers through hiring, coaching, and career management.
• Own the end-to-end lifecycle of domain datasets including ingestion, transformation, and deprecation.
• Set and enforce standards for data modeling, transformation patterns, testing, and code review.
• Manage freshness, accuracy, and availability SLAs for critical datasets and oversee incident response.
• Partner with Analytics, Marketing, and Product leaders to translate business needs into reliable data products.
• Manage the compute and storage cost of domain pipelines to drive efficiency improvements.
• Collaborate with the Data Platform team to drive adoption of self-serve tooling.

Requirements

• 8+ years of experience in data engineering.
• 3+ years of direct experience managing engineers.
• Hands-on background with SQL, Python, and Spark.
• Production experience building and operating ETL/ELT pipelines at scale.
• Deep expertise in data modeling and dimensional modeling.
• Experience owning business-critical datasets end-to-end with accountability for SLAs.
• Hands-on experience with a modern cloud warehouse like Snowflake, BigQuery, or Redshift.

Who should apply

This role suits experienced technical leaders with a strong background in data engineering and team management who enjoy building reliable data systems. Candidates must have extensive hands-on experience with SQL, Python, and Spark alongside a proven track record of managing data engineers. If you excel at turning messy data into well-modeled products and want to lead a high-performing team at Quince, this position is ideal for you. Freshers cannot apply as the role requires multiple years of professional and management experience.

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