{"id":2143367,"url":"https://alion.io/job/quince-engineering-manager-data-engineering","title":"Engineering Manager (Data Engineering)","company":{"id":716300,"name":"Quince","domain":"quince.com","url":"https://alion.io/company/quince-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":20,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":98000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Great Expectations","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Rest-Assured","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T02:37:38Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-10T02:18:23Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"ABOUT QUINCE\nQuince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast.\nWhat began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come - and return - to Quince because they trust us to deliver.\nOUR CULTURE\nQuince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way - at a speed and scale unlike anything that’s been done before.\nWe dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA. Where conventional wisdom says you have to choose - soft or durable, speed or rigor, quality or price - we ask why that trade-off has to exist in the first place.\nOur pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths. \nHere, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory. \nIf you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.\nTHE ROLE\nEngineering Manager (Data Engineering)\nWe’re looking for an Engineering Manager to lead the Data Products team - the engineers who own the ETL pipelines and curated datasets behind Quince’s core business domains.\nThis is a delivery- and ownership-heavy leadership role. You’ll own the datasets that the business runs on: how they’re modeled, how reliably they land, how well they’re documented, and how much they cost to produce. You’ll lead a team of data engineers embedded against business domains, set the modeling and quality bar across them, and act as the primary engineering partner to Analytics, Marketing, and Product.\nIf you like turning messy upstream systems into trustworthy, well-modeled data products - and building the team and standards that keep them trustworthy - this role is for you.\nResponsibilities\nTeam Leadership & Development\nLead, grow, and develop a team of data engineers owning domain-aligned data products, including hiring, onboarding, coaching, performance management, and career growth.\nBuild strong working relationships with engineers across the team, understand strengths and development areas, and establish clear growth plans.\nEnsure operational efficiency and actively participate in organizational initiatives with the objective of ensuring the highest customer value.\nData Products & Dataset Ownership\nOwn the end-to-end lifecycle of domain datasets: ingestion, transformation, modeling, publication, documentation, and deprecation.\nOwn delivery of the domain ETL roadmap, including prioritization, sequencing, commitments, and predictable execution across multiple business stakeholders.\nOwn freshness, accuracy, and availability SLAs for critical datasets, along with the on-call and incident response process that protects them.\nEstablish clear ownership and data contracts between the Data Products team, upstream service teams, and downstream consumers.\nData Modeling & Engineering Standards\nSet and enforce standards for data modeling, including dimensional and semantic layers, transformation patterns, testing, and code review across domains.\nDrive data quality and observability practices through checks, alerting, lineage, and root-cause discipline so issues are caught before consumers find them.\nIdentify opportunities to improve reliability, freshness, modeling quality, delivery predictability, and cost.\nData Platform & Technical Operations\nPartner with the Data Platform team to translate domain needs into platform capabilities and drive adoption of self-serve tooling within the team.\nManage the compute and storage cost of domain pipelines and drive measurable efficiency improvements.\nUnderstand upstream source systems and failure modes that impact downstream data.\nDrive improvements across reliability, data quality, freshness, SLA adherence, cost, and query efficiency.\nStakeholder & Cross-Functional Partnership\nAct as the trusted engineering counterpart for Analytics, Marketing, and Product leaders.\nDevelop strong working relationships with business and analytics stakeholders and establish clear support and intake processes.\nTranslate business requirements into scalable and reliable data products while balancing competing priorities.\nManage stakeholder expectations, communicate trade-offs clearly, and maintain predictable delivery.\nOrganizational Impact\nEstablish and maintain a clear ownership model for domains and datasets, with named owners and defined interfaces.\nDefine and roll out modeling and transformation standards covering naming, layering, testing, documentation, and review expectations.\nEstablish a healthy execution rhythm across intake and triage for ad-hoc requests, sprint planning, design reviews, on-call rotation, and stakeholder reporting.\nDrive adoption of self-serve ETL tooling within the team and feed real requirements back to the Data Platform team.\nSet a longer-term domain roadmap that aligns business priorities with technical investment and retires legacy pipelines.\nQualifications\nRequired\n8+ years of experience in data engineering, including 3+ years directly managing engineers.\nStrong hands-on background with SQL, Python, and Spark, with production experience building and operating ETL/ELT pipelines at scale.\nDeep expertise in data modeling, including dimensional modeling, slowly changing dimensions, incremental and idempotent transformation patterns, and designing datasets for analytical consumption.\nExperience owning business-critical datasets end-to-end, with real accountability for freshness, correctness, and SLAs.\nHands-on experience with a modern cloud warehouse such as Snowflake, BigQuery, Redshift, or similar.\nExperience with a workflow orchestrator such as Airflow or similar.\nTrack record of delivering a multi-quarter roadmap across several competing business stakeholders on predictable timelines.\nDemonstrated ability to hire, retain, and grow strong engineers.\nStrong stakeholder management skills, including the ability to say no, explain why, and maintain strong relationships.\nComfortable working in ambiguous, fast-moving environments where you help define the right way.\nPreferred\nExperience using dbt for transformations and modeling, and building a reusable modeling framework across domains.\nExperience with data quality and observability tooling such as Monte Carlo, Great Expectations, or in-house equivalents.\nFamiliarity with data mesh / domain-ownership operating models and data contracts.\nExperience with Spark for large-scale transformations and Kafka or CDC-based ingestion.\nFamiliarity with modern data stack concepts, including lakehouse architectures, columnar storage, and open table formats.\nExperience with a BI/semantic layer such as Looker or similar and partnering closely with analytics teams.\nExperience with AWS and managing pipeline cost at scale.\nWHY QUINCE?\nJoining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.\nEQUAL OPPORTUNITY & HIRING INTEGRITY\nQuince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. \nQuince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.\nEmployment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.\nSecurity Advisory: Beware of Frauds\nAt Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.","description_format":"text","description_chars":10160,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-10-09T03:55:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":16,"expected_fill_days":77,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":null,"html_url":"https://alion.io/job/quince-engineering-manager-data-engineering","json_url":"https://alion.io/job/quince-engineering-manager-data-engineering.json","meta":{"generated_at":"2026-10-10T02:25:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4453,"day_limit":5000,"remaining_today":547,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":716300},"rest":"https://alion.io/mcp/rest/get_company?id=716300"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquince-engineering-manager-data-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fquince-engineering-manager-data-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fquince-engineering-manager-data-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/quince-engineering-manager-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquince-engineering-manager-data-engineering"}]}