{"id":1227575,"url":"https://alion.io/job/hiringblaze-data-engineering-manager","title":"Data Engineering Manager","company":{"id":3800132,"name":"HiringBlaze","domain":"hiringblaze.com","url":"https://alion.io/company/hiringblaze","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":95000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-24T04:10:21Z","employer_posted_date":null,"last_verified_at":"2026-09-24T04:10:21Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Role : Data Engineering Manager (E-commerce & AI-First Platform)\n\nLocation : Bangalore, India \n\nExperience : 7 -10+ Years \n\nRole Overview : \n\nWe are seeking a high-impact Data Engineering Manager to lead the end-to-end data foundation for a fast-scaling global e-commerce and marketplace operator. This is a strategic leadership role that combines deep technical engineering with operational ownership. You will not just build pipelines; you will be the connective tissue between business teams and engineering execution, ensuring data infrastructure directly drives revenue and AI/ML impact.\n\nCore Responsibilities :\n\n- Data Platform Ownership : Design and scale a multi-region data warehouse architecture (Snowflake/BigQuery/Redshift) and manage complex ingestion pipelines from marketplaces, finance systems, and OMS/WMS.\n\n- Business-Facing Analytics : Translate ambiguous business asks into clearly defined metrics and high-velocity dashboards for performance marketing (RoAS, CAC), inventory health, and forecasting.\n\n- AI & Automation Readiness : Architect data systems to support advanced use cases like pricing optimization, inventory intelligence, and AI-driven automation.\n\n- Execution & Leadership : Run structured weekly sprints, manage a small team of engineers, \nand proactively handle stakeholder expectations at the founder/leadership level.\n\nRequired Qualifications :\n\n- Experience : 7-10+ years in data engineering or analytics engineering, with at least one stint in a fast-paced startup.\n\n- Domain Knowledge : Proven experience in E-commerce, Marketplaces, or Supply Chain (B2B side of scaled players like Flipkart, Amazon, Zepto, or Swiggy is highly preferred).\n\n- Technical Mastery : Hands-on expertise in ETL/ELT, API integrations, and building business-facing dashboards (Looker, Tableau, etc.).\n\n- AI Encounter : Demonstrated experience in building data layers for AI/ML teams and delivering \"brag-worthy\" AI-first solutions.\n\n- Communication : Exceptional ability to translate technical trade-offs into business language and lead junior team members.\n\nNon-Negotiable Success Traits :\n\n- Business Fluency : Deep understanding of contribution margin, working capital, and inventory turns.\n\n- Execution Bias : Ability to ship in weeks, not quarters, and balance perfection with pragmatism.\n\n- Structured Thinking : Converting messy business asks into scalable system designs.\n\nWhy Join Us?\n\nThis role offers the opportunity to directly impact revenue growth and working capital efficiency for a business operating across multiple geographies and brands. You will have the autonomy to build a decision-grade data foundation from the ground up.\n\nSkills\nData Engineering, Data Analytics, Data Modeling, Snowflake DB, Redshift, Artificial Intelligence, Machine Learning, OMS, WMS","description_format":"text","description_chars":2798,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.465,"p_room":0.945,"age_days":4,"expected_fill_days":8,"reasons":["seen:4","agency","velocity","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hiringblaze-data-engineering-manager","json_url":"https://alion.io/job/hiringblaze-data-engineering-manager.json","meta":{"generated_at":"2026-09-29T00:40:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":507,"day_limit":5000,"remaining_today":4493,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}