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