Job Description & Details
The retail e‑commerce sector is exploding, and data architects who can blend AWS expertise with strict compliance are in high demand. Companies need robust, multi‑tenant data platforms that keep customer information safe while powering AI‑driven experiences. This contract role offers a chance to shape the data foundation for multiple brands from the comfort of your home.
Job Summary
We are seeking a seasoned Data Architect to own the data layer of a multi‑tenant e‑commerce platform serving competing retail brands. You will design canonical domain models, build secure data pipelines, enforce PCI‑DSS and GDPR compliance, and enable future AI/ML workloads on AWS and Snowflake. The role is contract‑based, fully remote, and requires deep retail domain knowledge.
Top 3 Critical Skills Table
| Skill | Why it's critical | Mastery Level |
|---|---|---|
| Multi‑tenant Data Modeling | Guarantees data isolation across brands while sharing infrastructure | Senior |
| AWS Data Services (RDS, Glue, DMS, SageMaker) | Powers scalable pipelines, CDC, and ML feature stores on the cloud | Senior |
| Snowflake / Lakehouse Architecture | Enables high‑performance analytics, partitioning, and secure data sharing | Senior |
Interview Preparation
- How would you design a data isolation strategy for multiple retail brands sharing the same Snowflake instance?
What the interviewer is looking for: Understanding of separate schemas, role‑based access control, row‑level security, and cost‑effective storage. - Explain how you would implement PCI‑DSS and GDPR compliance in the data pipelines you build on AWS.
What the interviewer is looking for: Knowledge of encryption at rest/in‑transit, tokenization, audit logging, and data retention policies. - Describe a CDC pipeline using AWS DMS and EventBridge to keep an ERP system in sync with Snowflake.
What the interviewer is looking for: Ability to set up change data capture, transformation steps, error handling, and near‑real‑time delivery. - What considerations are important when designing a Snowflake schema for an AI/ML feature store?
What the interviewer is looking for: Partitioning, clustering keys, time‑travel, data lineage, and efficient query patterns for training data. - How would you lead a brand migration workshop to map legacy data to the canonical domain model?
What the interviewer is looking for: Communication skills, stakeholder alignment, gap analysis, and creation of migration automation scripts.
Resume Optimization
- Data Architect
- Retail e‑commerce
- AWS (RDS, Glue, DMS, SageMaker)
- Snowflake
- Multi‑tenant data isolation
- PCI‑DSS compliance
- GDPR compliance
- Python
- Java
- Data pipelines
Application Strategy
When you email the recruiter, start with a brief greeting, attach your updated resume, and clearly reference the Data Architect role. Highlight your top skills such as multi‑tenant data modeling, AWS data services, and Snowflake expertise. Mention any relevant retail projects or migrations you’ve led, and explain how your experience aligns with the responsibilities listed in the job description.
Career Roadmap
| Current Role | Typical Experience | Core Focus | Next Position |
|---|---|---|---|
| Data Architect | 3‑5 years | Design multi‑tenant models, ensure compliance, enable AI/ML pipelines | Senior Data Architect |
| Senior Data Architect | 5‑8 years | Lead cross‑team architecture, mentor junior architects, drive strategic data initiatives | Data Engineering Manager |
| Data Engineering Manager | 8‑12 years | Oversee data teams, align data strategy with business goals, budget and vendor management | Director of Data Architecture |