Data Engineering Manager

Role : Data Engineering Manager (E-commerce & AI-First Platform)

Location : Bangalore, India

Experience : 7 -10+ Years

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 Engineering, Data Analytics, Data Modeling, Snowflake DB, Redshift, Artificial Intelligence, Machine Learning, OMS, WMS