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 :

- Build eCommerce Marketing Data Foundation.

- Design and implement a unified marketing data layer across :

1. Paid media platforms (Google Ads, Meta, affiliates, etc.)

2. Web & app analytics (clickstream, events).

3. CRM, lifecycle, and customer data.

4. Orders, transactions, and product data.

- Define consistent metrics for CAC, ROAS, LTV, conversion funnels, and attribution.

Data Architecture & Modeling :

- Architect scalable data models and aggregation layers for :

1. Campaign performance.

2. Customer cohorts & segmentation.

3. Funnel and conversion analytics.

- Translate ambiguous business requirements into clean, reusable data structures.

- Ensure alignment between marketing, product, and finance metrics.

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.

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.

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.

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 :

1. Spark / Databricks.

2. Airflow or similar orchestration tools.

3. 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 :

1. Performance marketing metrics (ROAS, CAC, CPA).

2. Funnel analysis and conversion tracking.

3. 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.