Staff Analytics Engineer

About

As a Staff Analytics Engineer, you will be a technical leader at the center of this transformation. You’ll shape platform architecture, drive AI‑powered product delivery, and raise the bar for what a small, AI‑augmented engineering team can accomplish.

What You’ll Do

• Own and evolve a tool‑agnostic analytics layer powering business decisions. Design and maintain scalable, well‑modeled datasets using dbt, Snowflake, and a semantic layer—transforming raw data into trusted, high‑quality metrics used across Product, GTM, Finance, and Operations.
• Partner deeply with analysts and business stakeholders. Collaborate with Data Analysts, Product, and business leaders to define metrics, enable self‑service analytics, and deliver insights that directly impact decision‑making and product development.
• Drive data quality, consistency, and trust at scale. Implement robust testing, monitoring, and validation frameworks to ensure data accuracy and reliability, while standardizing metric definitions across the organization.
• Build data products and AI‑powered analytics systems. Develop systems such as AI‑driven support ticket classification and contribute to building an AI agent that can act as a Data Analyst—leveraging the semantic layer to answer business questions and generate insights.

What We’re Looking For

Attributes

• You already build with AI daily, using Claude Code or a similar core part of your workflow.
• You have strong opinions on how AI can enhance analytics workflows, data modeling, and decision‑making.
• You think in systems, connecting technical decisions to customer outcomes and long‑term business value.
• You communicate clearly and directly, explaining complex trade‑offs to product, design, and executive stakeholders.
• You thrive in ambiguity and speed, enjoying a fast‑growing company where the roadmap evolves and ownership is real.
• You enjoy a fun work environment and celebrate wins while building together.

Skills And Experience

• 8+ years in analytics engineering, data engineering, or related roles, including experience at large scale or leading cross‑functional initiatives.
• Deep proficiency with dbt, building and maintaining large‑scale transformation layers and reusable models.
• Strong SQL skills and experience with Snowflake or similar cloud data warehouses.
• Experience designing and operating scalable semantic layers to provide consistent, reliable metric definitions.
• Expertise in designing modular, scalable data architectures (e.g., Kimball or OBT) that balance query performance with ease of use for downstream analysts.
• History of building data quality frameworks, testing strategies, and monitoring for analytics datasets.
• Experience building data products or internal tools while partnering with product and business teams to define metrics and drive decisions.
• Expert‑level grasp of software design principles and deep understanding of multi‑tenant platform architectures.
• Proven track record leading high‑impact analytics initiatives from concept through delivery.

Tech Stack

• Frontend: Sigma, Hex
• Backend: dbt, SQL, Python
• Data: Snowflake
• Infrastructure: Airflow

Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.