Senior Analytics Engineer - AI-Driven Data Platform Lead

Luxury Presence; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Luxury Presence is seeking a Senior Analytics Engineer to build and scale an analytics foundation powering decision-making across GTM, Product, Finance, People, and Operations. You will transform raw data into clean, well‑modeled datasets used for dashboards, cohort analyses, experiments, and AI-enabled insights.

You will partner with Product, Marketing, RevOps, Finance, and Engineering to ensure a robust analytics stack, drive data literacy, and enable self-serve insights.

Qualifications

• 5+ years in analytics engineering, data engineering, or similar in a SaaS environment.
• Deep expertise in SQL, dbt, and modern data modeling practices.
• Proficiency in Python for pipelines and automation.
• Experience modeling Salesforce data: opportunities, contracts, subscriptions, cases, and field history.
• Proven experience building ELT pipelines ingesting data via APIs into cloud warehouses.

Responsibilities

• Build and own the data foundation via dbt projects, Snowflake warehousing, and data ingestion processes.
• Ensure data quality, implement CI/CD, testing, linting, and observability across analytics pipelines.
• Collaborate cross-functionally with GTM, Product, Finance, and Eng to standardize metrics and instrumentation.
• Build AI-ready data infrastructure including Snowflake Cortex semantic views and semantic layers.

Skills

SQL

dbt

Python

Data modeling

ELT pipelines

CI/CD

Cross-functional collaboration

Analytics-driven decisions

Ambiguity ownership

Tools

Snowflake

BigQuery

Redshift

Airflow

dbt Semantic Layer

Snowflake Cortex

Salesforce

Posthog

Mixpanel

Job description

Luxury Presence is seeking a Senior Analytics Engineer to build and scale an analytics foundation powering decision-making across GTM, Product, Finance, People, and Operations. You will transform raw data into clean, well‑modeled datasets used for dashboards, cohort analyses, experiments, and AI-enabled insights.

You will partner with Product, Marketing, RevOps, Finance, and Engineering to ensure a robust analytics stack, drive data literacy, and enable self-serve insights.