Senior Analytics Engineer - US

Rozgoo; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Luxury Presence is seeking a Senior Analytics Engineer to build and scale the analytical foundation powering decision-making across GTM, Product, Finance, People, and Operations. You will transform raw product, marketing, financial, and operational data into clean, well-modeled datasets to support dashboards, cohort analyses, experimentation, billing operations, and AI-enabled insights.

The role sits at the intersection of data engineering and analytics, collaborating with Product Management,

Responsibilities

• Own and evolve the data foundation by managing the dbt project and ensuring models are well-tested.
• Design and maintain the Snowflake data warehouse and ingestion processes.
• Build and maintain Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.
• Develop cross-system reconciliation models to surface discrepancies and protect revenue.
• Implement testing and observability for analytics pipelines and enforce CI/CD best practices.

Skills

dbt

Snowflake

Python

Airflow

Data modeling

Tools

SQL

CI/CD

Job description

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

The Role We're looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance, People, and Operations teams. You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, financial, and operational data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, billing operations, AI-powered outreach, and semantic layers that let AI agents answer stakeholder questions autonomously. This is a highly cross-functional role - you'll partner closely with Product Management, Marketing, RevOps, Finance, People Ops, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business.

Responsibilities

• Build & Own the Data Foundation Own and evolve our dbt project - ensuring models are performant, well-tested, and documented.
• Design and maintain the Snowflake data warehouse and ingestion processes.
• Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic.
• Build and maintain custom Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.
• Design and operate cross-system reconciliation models that compare data across source systems to surface discrepancies and protect revenue.
• Drive Data Quality & Automation Implement testing and observability for analytics pipelines.
• Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals.
• Standardize metric definitions and ensure they are consistently computed across tools.
• Investigate and document data incidents end-to-end - from root cause analysis through remediation tracking and stakeholder communication.
• Cross-Functional Collaboration Act as data liaison between Engineering, GTM, and Finance - ensuring consistent metric definitions and proper system instrumentation.
• Enable stakeholder self-service access to trusted insights.
• Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve.
• Build AI-Ready Data Infrastructure Design and maintain Snowflake Cortex semantic views that serve as the governed data interface for AI agents and LLM-powered tools.
• Partner with AI/product teams to scope, build, and validate the semantic layer definitions that power internal AI assistants.
• Build measurement frameworks for AI-powered initiatives - including experiment design and attribution modeling.

Qualifications

Must Hav