Engineering Manager (Data Engineering)

Quince
Bengaluru
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsSkills: ["Leadership","Stakeholder management","Coaching","Problem-solving","Communication"]

Lead the Data Products team responsible for ETL pipelines and curated datasets powering core business domains. You’ll manage and grow data engineers embedded with domain stakeholders, set data modeling and quality standards, and own dataset lifecycle from ingestion to documentation and deprecation. Partner with Analytics, Marketing, and Product to deliver roadmap commitments, protect freshness/accuracy SLAs through observability and incident response, and drive cost-effective performance improvements across the data platform.

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FursaFursa
Quince
Quince
19 hours ago

Engineering Manager (Data Engineering)

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Last checked: 13 hours agoStatus: Live

Job Summary

Lead the Data Products team responsible for ETL pipelines and curated datasets powering core business domains. You’ll manage and grow data engineers embedded with domain stakeholders, set data modeling and quality standards, and own dataset lifecycle from ingestion to documentation and deprecation. Partner with Analytics, Marketing, and Product to deliver roadmap commitments, protect freshness/accuracy SLAs through observability and incident response, and drive cost-effective performance improvements across the data platform.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Lead, grow, and develop a team of data engineers owning domain-aligned data products, including hiring, onboarding, coaching, performance management, and career growth.
  • •Own end-to-end lifecycle of domain datasets (ingestion, transformation, modeling, publication, documentation, deprecation) and deliver the domain ETL roadmap across stakeholders.
  • •Set and enforce data modeling and engineering standards (dimensional/semantic layers, transformation patterns, testing, code review) and drive data quality/observability practices.
  • •Partner with the Data Platform team to translate domain needs into platform capabilities and drive adoption of self-serve tooling.
  • •Act as the trusted engineering counterpart to Analytics, Marketing, and Product leaders by translating requirements into scalable data products and maintaining predictable delivery.

Key Requirements

  • •8+ years of data engineering experience, including 3+ years directly managing engineers.
  • •Hands-on production experience with SQL, Python, and Spark building and operating ETL/ELT pipelines at scale.
  • •Expertise in data modeling (dimensional modeling, slowly changing dimensions, incremental/idempotent transformations) for analytical consumption.
  • •Experience owning business-critical datasets end-to-end with measurable freshness, correctness, and SLA accountability.
  • •Hands-on experience with a modern cloud warehouse (Snowflake, BigQuery, Redshift, or similar) and a workflow orchestrator (Airflow or similar).
Experience:8+ years
Skills:LeadershipStakeholder managementCoachingProblem-solvingCommunication
Languages:English
Tech Stack:SQLPythonSparkETLELTSnowflakeBigQueryRedshiftAirflowDbtMonte CarloGreat ExpectationsData meshData contractsKafkaCDCLakehouse architecturesColumnar storageOpen table formatsLooker

Company Brief

Quince
Quince is a direct-to-consumer brand offering affordable, high-quality apparel, home goods, and essentials—such as cashmere, basics, and home textiles—focused on transparent sourcing and value pricing for customers.
Industry: Direct to Consumer Brands
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn