Back to Jobs

Data Architect

Not Disclosed

Job Description & Details

Data architecture is becoming the backbone of modern retail‑ecommerce platforms, especially as companies grapple with ever‑tightening data‑privacy regulations. A contract role like this lets you dive deep into cloud‑native solutions while shaping compliance frameworks for high‑volume transaction data. If you love turning complex data ecosystems into scalable, secure assets, this opportunity in Plano is worth a closer look.

Job Summary

We are seeking a seasoned Data Architect to design, implement, and govern cloud‑based data solutions for a retail‑ecommerce environment. The role focuses on building scalable architectures on AWS, leveraging Snowflake for analytical workloads, and ensuring strict adherence to PII, PCI‑DSS, and GDPR compliance standards.

Top 3 Critical Skills Table

Skill Why it's critical Mastery Level
AWS Core cloud platform for hosting data pipelines and storage Senior
Snowflake Primary data warehouse for analytics and reporting Senior
Data Compliance (PCI‑DSS, GDPR, PII) Guarantees legal and secure handling of sensitive customer data Senior

Interview Preparation

  1. How would you design a secure data pipeline on AWS for PCI‑DSS compliant transactions?
    What the interviewer is looking for: Understanding of encryption at rest/in‑transit, IAM roles, VPC isolation, and audit logging.
  2. Explain the advantages of Snowflake’s multi‑cluster shared data architecture for a high‑traffic e‑commerce site.
    What the interviewer is looking for: Knowledge of compute‑storage separation, auto‑scaling, and concurrency handling.
  3. What steps would you take to ensure GDPR‑compliant data subject access requests in a Snowflake environment?
    What the interviewer is looking for: Familiarity with data masking, column‑level security, and data retention policies.
  4. Describe how you would implement data lineage and governance across AWS and Snowflake.
    What the interviewer is looking for: Experience with AWS Glue Catalog, Lake Formation, or third‑party metadata tools, plus documentation practices.
  5. Can you walk us through a scenario where you had to reconcile conflicting compliance requirements (e.g., PCI‑DSS vs. GDPR) in a data model?
    What the interviewer is looking for: Ability to balance encryption, tokenization, and data residency considerations.

Resume Optimization

  • Data Architect
  • AWS Cloud Architecture
  • Snowflake Data Warehouse
  • PCI‑DSS Compliance
  • GDPR & PII Regulations
  • Retail E‑commerce Data
  • Data Modeling & ETL
  • Cloud Security & Encryption
  • Data Governance
  • Cross‑functional Collaboration

Application Strategy

When reaching out to the recruiter, send a concise email that greets the hiring manager, attaches your updated resume, and clearly highlights your top relevant skills. Make sure to mention related skills you possess, such as AWS architecture, Snowflake implementation, and compliance expertise (PCI‑DSS/GDPR). Reference any retail‑ecommerce projects where you built secure, scalable data pipelines.

Career Roadmap

Current Role Typical Experience Core Focus Next Position
Data Architect 5‑7 years in cloud data platforms, compliance Design & governance of enterprise data solutions Senior Data Architect
Senior Data Architect 8‑10 years, leading large‑scale data programs Strategy, mentorship, multi‑cloud expansion Data Engineering Manager
Data Engineering Manager 10+ years, cross‑functional leadership Organizational data vision, budgeting, stakeholder alignment Director of Data Architecture