Job Description

Job Title

Senior Data Engineer / Data Architect – eCommerce Marketing Data Platform

🎯 Role Summary

We are looking for a Senior Individual Contributor (IC) to build and own the end-to-end marketing data foundation for a fast-growing eCommerce business.

This role requires a hands-on Data Engineer with strong architectural expertise who can design scalable systems, unify fragmented data sources, and enable accurate performance marketing insights, attribution, and customer analytics.

You will play a critical role in enabling data-driven growth, campaign optimization, and revenue measurement.

🚀 Key Responsibilities

1. Build eCommerce Marketing Data Foundation

Design and implement a unified marketing data layer across:
Paid media platforms (Google Ads, Meta, affiliates, etc.)
Web & app analytics (clickstream, events)
CRM, lifecycle, and customer data
Orders, transactions, and product data
Define consistent metrics for CAC, ROAS, LTV, conversion funnels, and attribution

2. Data Architecture & Modeling

Architect scalable data models and aggregation layers for:
Campaign performance
Customer cohorts & segmentation
Funnel and conversion analytics
Translate ambiguous business requirements into clean, reusable data structures
Ensure alignment between marketing, product, and finance metrics

3. Data Engineering & Pipelines

Build and maintain robust, production-grade data pipelines (batch + near real-time)
Implement ETL/ELT workflows for ingesting and transforming high-volume data
Ensure data reliability, freshness, and accuracy at scale
Optimize pipelines for performance and cost efficiency

4. Attribution & Analytics Enablement

Develop frameworks for multi-touch attribution and incrementality measurement
Enable self-serve analytics for marketing and growth teams
Partner with stakeholders to define north-star metrics and reporting layers

5. Platform Reliability & Governance

Implement data quality checks, monitoring, and alerting systems
Ensure compliance with data privacy and governance standards
Establish best practices for data documentation and lineage

6. Cross-functional Collaboration

Work closely with Engineering, Growth, Marketing, Product, and Finance teams
Act as a bridge between business requirements and technical implementation
Influence decisions on data architecture and tooling

🧠 Required Skills & Experience

Core Experience

6–10+ years in Data Engineering / Data Platform roles
Proven experience building end-to-end data systems from scratch
Strong expertise in data modeling, architecture, and pipeline design

Technical Skills

Advanced SQL and strong programming skills (Python / Scala / Java)
Experience with modern data stack / big data tools:
Spark / Databricks
Airflow or similar orchestration tools
Data warehouses (Snowflake, BigQuery, Redshift)
Hands-on experience with cloud platforms (AWS / GCP / Azure)

Domain Expertise (Critical)

Experience working with eCommerce or high-scale consumer data
Strong understanding of:
Performance marketing metrics (ROAS, CAC, CPA)
Funnel analysis and conversion tracking
Customer lifecycle and retention metrics
Familiarity with marketing attribution challenges in eCommerce

🌟 What We’re Looking For

A builder who thrives in ambiguity and can create systems from the ground up
Strong architectural thinking + hands-on execution
Ability to translate business problems into scalable data solutions
Someone who can own outcomes, not just pipelines

📈 Nice to Have