Principal Analytics Engineer (Amazon Marketplace)

Help Brands Win on Amazon - and Love Where You Work  Role :

• Principal Data Analytics Engineer  Location :  San Diego, CA 92101 (Onsite at Symphony Towers)  Compensation Range :  $150,000-$180,000 DOE At Luminize, we help brands win — and as one of the top Amazon sellers in the US, we’re looking for exceptional builders who want to grow with us.
• Our people are the heartbeat of our success, and we’re searching for a Principal Data Analytics Engineer to bring clarity, stability, and next-level scalability to our rapidly evolving data ecosystem.
• This is a true principal-level role for someone who thrives on solving ambiguity, modernizing legacy workflows, and architecting high-performance analytics foundations across BigQuery, dbt, and Looker Studio.
• We believe data is more than numbers - it's the story that drives smarter inventory decisions, financial performance, and meaningful client growth.
• Come help us tell that story.  What You'll Be Doing Lead the architecture, refactoring, and optimization of end-to-end data pipelines across BigQuery, dbt, and Looker Studio .
• Untangle legacy workflows, undocumented lineage, circular data flows, and brittle integrations to build a future-ready data foundation.
• Implement high-reliability data quality frameworks, observability layers, and monitoring systems in GCP.
• Architect Scalable, Intelligent Data Systems Own BigQuery performance optimization through smart partitioning, clustering, caching, and warehouse tuning.
• Develop reliable ingestion and transformation patterns for large-scale, messy, multi-source environments .
• Establish and enforce best practices for dbt structure, testing, documentation, version control, and maintainability.
• Lead with Deep Technical Expertise Serve as the company’s principal technical authority across SQL, Python, dbt, and data modeling.
• Provide mentorship, code reviews, and architectural guidance to junior and mid-level engineers.
• Balance hands-on engineering with high-level strategy to shape Luminize’s modern data roadmap.
• Drive Business Impact Through Smart Data Architecture Partner with leadership and stakeholders to translate ambiguous business questions into actionable insights and scalable data solutions.
• Champion data governance, metadata management, and clear documentation to increase visibility and reduce technical debt.
• Identify automation opportunities to eliminate manual processes and improve operational efficiency across the company.  What We're Looking For Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or equivalent experience. 8+ years in data engineering or analytics engineering, with 3+ years in a senior or principal-level capacity .
• Technical Mastery Deep expertise in dbt (Core + Cloud) including macros, advanced architecture, testing, and documentation standards.
• Advanced proficiency in SQL (BigQuery dialect preferred), with a track record of diagnosing and fixing poorly performing models.
• Proven experience architecting, scaling, and optimizing BigQuery environments with performance / cost strategies.
• Strong Python skills for automation, orchestration (Cloud Composer / Airflow), and integration workflows.
• Data Architecture & Modeling Expertise Strong understanding of modern data stack tooling and analytical data modeling methodologies.
• Experience working in ambiguous, legacy-heavy environments where systems must be untangled, restructured, and modernized.
• Familiarity with data observability, cataloging, and lineage tools.
• Leadership & Communication Proven ability to mentor, guide, and level-up junior engineers.
• Excellent communication skills — able to translate complex data concepts to technical and non-technical teams.
• Highly organized, self-directed, and comfortable balancing multiple concurrent projects in a fast-paced environment.     Benefits & Perks Our people are our #1 priority.

Benefits include :

Your exact placement will depend on your experience with :

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