Senior Analytics Engineer - US (Remote)

Luxury Presence is building the AI growth platform for real estate, and they are seeking a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across various teams. The role involves transforming raw data into trustworthy datasets and ensuring the analytics stack is robust and scalable through cross-functional collaboration.

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
• 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
• 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

Requirements:

• 5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment
• Deep expertise in SQL, dbt and modern data modeling best practices
• Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel)
• Experience connecting marketing data (paid ads, campaigns, attribution) to product analytics-ideally having built end-to-end pipelines from ad platforms through to conversion and retention metrics
• Comfortable with large-scale data systems (Snowflake, BigQuery, Redshift)
• Strong familiarity with CI/CD, Git-based workflows, and automated testing
• Experience collaborating cross-functionally with engineers, analysts, and product managers
• Demonstrated success using analytics to drive decisions in a technical or product-focused environment
• Comfort taking ownership of ambiguous problems and designing end-to-end solutions
• Proficiency in Python for deeper analysis and automation
• Experience building and maintaining Airflow DAGs
• Experience with Spark and PySpark