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:

• 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.