Staff Analytics Engineer - US (Remote)

Luxury Presence is building the AI growth platform for real estate, backed by top investors and on track for significant revenue growth. As a Staff Analytics Engineer, you'll lead the development of an analytics layer to support business decisions, collaborate with stakeholders, and ensure data quality while leveraging AI to enhance analytics systems.

Responsibilities:

• 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

Requirements:

• 8+ years in analytics engineering, data engineering, or related roles, including time operating at a large scale or leading cross-functional initiatives
• Deep proficiency with dbt, including building and maintaining large-scale transformation layers and reusable models
• Strong SQL skills and a background working with Snowflake or similar cloud data warehouses
• Designing and operating scalable semantic layers to provide consistent, reliable metric definitions across the organization
• Expertise in designing modular, scalable data architectures (e.g., Kimball or OBT) that balance query performance with ease of use for downstream analysts
• A history of building data quality frameworks, testing strategies, and monitoring for analytics datasets
• 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 a deep understanding of multi-tenant platform architectures
• Proven track record leading high-impact analytics initiatives from concept through delivery
• You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty
• You have strong opinions on how AI can enhance analytics workflows, data modeling, and decision-making
• You think in systems. You connect technical decisions to customer outcomes and long-term business value
• You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders
• You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real
• You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together