Location: Bangalore, India
Experience: 7-10+ Years
Fixed Compensation: Up to 80 LPA
Role Overview
We 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.
Core Responsibilities
- 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.
- Business-Facing Analytics: Translate ambiguous business asks into clearly defined metrics and high-velocity dashboards for performance marketing (RoAS, CAC), inventory health, and forecasting.
- AI & Automation Readiness: Architect data systems to support advanced use cases like pricing optimization, inventory intelligence, and AI-driven automation.
- Execution & Leadership: Run structured weekly sprints, manage a small team of engineers, and proactively handle stakeholder expectations at the founder/leadership level.
Required Qualifications
- Experience: 7-10+ years in data engineering or analytics engineering, with at least one stint in a fast-paced startup.
- 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).
- Technical Mastery: Hands-on expertise in ETL/ELT, API integrations, and building business-facing dashboards (Looker, Tableau, etc.).
- AI Encounter: Demonstrated experience in building data layers for AI/ML teams and delivering brag-worthy AI-first solutions.
- Communication: Exceptional ability to translate technical trade-offs into business language and lead junior team members.
Non-Negotiable Success Traits
- Business Fluency: Deep understanding of contribution margin, working capital, and inventory turns.
- Execution Bias: Ability to ship in weeks, not quarters, and balance perfection with pragmatism.
- Structured Thinking: Converting messy business asks into scalable system designs.
Why Join Us
This 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.
Skills: data,artificial intelligence,data engineering,api,leadership,e-commerce,tableau,looker,machine learning,dashboards,automation,analytics,etl,building,llm
