Principal Analytics Engineer (Amazon Marketplace)
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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
- Multiple medical plan options through Anthem Blue Cross Dental & vision insurance (including orthodontia and annual exams) Pet benefit program with savings on vet care and products Paid vacation (accruing up to 120+ hours/year with rollover and cap) Paid company holidays Coverage for spouses/domestic partners and dependents under 26 Benefits effective the first of the month after your hire date Compensation Transparency We’ve listed a broad base salary range of $150,000–$180,000/year based on experience, architectural depth, and advanced technical ability in modern data systems.
Your Exact Placement Will Depend On Your Experience With
- Large-scale BigQuery environments Complex legacy-to-modern migration projects dbt architecture and advanced engineering practices High-impact strategic decision-making We believe in transparent, fair compensation tied to value and impact — not just years of experience. Growth & Career Opportunities at Luminize At Luminize, we don’t just grow brands — we grow people.
We Provide
- Clear leveling guidelines and promotion paths Mentorship and 1:1 guidance from senior leadership Cross-functional exposure across advertising, brand management, supply chain, catalog, software, and operations Access to learning resources, courses, and development programs A culture that rewards curiosity, initiative, and ownership Many of our leaders started as individual contributors — we promote from within whenever possible.
- If you want to level up your craft and your career, you’ll fit right in. About Luminize Luminize is a full-service Amazon growth partner helping brands succeed in the world’s most competitive ecommerce marketplace.
- From analytics to advertising to creative strategy, we combine expertise and hustle to accelerate results for brands across CPG, health, wellness, beauty, and more.
- We operate with transparency, celebrate wins, and treat every brand like it’s our own.
- If you’re ready to architect world-class data systems, solve meaningful problems, and work with great people — we’d love to meet you.
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Job Type
- Job Type
- Full Time
- Salary Range
- USD 150,000 - 180,000 yearly
- Location
- San Diego, CA
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