Principal Data Engineer

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

• 610+ 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 Were 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

• Experience in high-growth D2C or marketplace environments
• Exposure to real-time streaming pipelines (Kafka, etc.)
• Experience with customer data platforms (CDPs)
• Knowledge of experimentation frameworks (A/B testing)

Success in This Role Looks Like

• A single source of truth for marketing and customer data
• Reliable and scalable pipelines powering daily business decisions
• Clear and trusted metrics across marketing, product, and finance
• Improved marketing efficiency and revenue attribution accuracy