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Founding Data Engineer (Core Data Platform) at Embedding VC. Remote Location: San Francisco Bay Area. 🎨 About OpenArt. OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future.. 🚀 Why Join OpenArt. Own the . entire data foundation. of a fast-scaling AI company — from raw data to executive metrics.. Build from 0 → 1 — define the architecture that powers product, finance, and company-wide decision making.. High visibility and impact — your work directly informs leadership, product direction, and company strategy.. Founder-led, fast-moving culture — high ownership, low process, high trust.. AI-native company — help define how data supports AI systems, agents, and long-term intelligence.. 7–10X revenue growth over the past 2 years — now scaling the data layer to match.. 🎯 About the Role. We’re looking for a . Founding Data Engineer. to . build and own OpenArt’s core data platform and source of truth. , supporting product, finance, and leadership decision-making.. This is a . 0 → 1 role. focused on . data reliability, modeling, and long-term scalability. — not just analytics or dashboarding.. You will define how data is structured, validated, and served across the company — ensuring that key metrics are . consistent, trusted, and production-grade. .. You’ll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.. 🛠 What You’ll Do. Design and build . core data pipelines. (e.g., product events, payments, internal systems → BigQuery). Define and maintain the . data warehouse architecture. , including schema design, data modeling, and table structure. Establish and own the . single source of truth (SOT). for product and business metrics. Build and maintain . core data models. (user, subscription, revenue, engagement, etc.). Ensure . data consistency across systems. (product analytics, billing, internal tools). Lead . data reconciliation efforts. (e.g., Stripe vs internal systems vs reporting). Implement . data quality checks, validation, and monitoring systems. Build . reliable reporting layers. used by leadership and finance (not ad hoc dashboards). Establish . data standards and contracts. (event naming, schema governance, tracking consistency). Partner with engineering to improve . instrumentation and data correctness at source. Support downstream teams (analytics, DS) by providing . clean, well-documented datasets. Continuously improve . data reliability, performance, and cost efficiency. 🧑‍💻 What We’re Looking For. Core Requirements. 5+ years of experience in . data engineering or analytics engineering. Proven experience building . data platforms or warehouses from 0 → 1. Strong SQL and Python — you write . clean, production-quality data code. Deep expertise in . data modeling, ETL/ELT design, and warehouse architecture. Experience with modern data stack:. BigQuery / Snowflake / Redshift. dbt or similar transformation tools. Workflow orchestration tools (Airflow / Prefect or similar). Experience working with . financial and product data. (e.g., payments, subscriptions, usage data). Strong understanding of . data reliability, testing, and validation. Ability to translate business definitions into . durable, consistent data models. High ownership — you can define and drive architecture decisions independently. Comfortable operating in . ambiguous, fast-moving environments. Nice to Have. Experience building . data systems for finance or revenue reporting. Experience with . data reconciliation across multiple systems. Familiarity with BI tools (Metabase, Looker, etc.). Experience designing . semantic layers or metric definitions. Prior experience as an early or founding data hire. ⚙ Tech Stack You’ll Work With. BigQuery, dbt (or similar), Airbyte/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP. 💰 Compensation. Competitive base salary and bonus program. Equity — meaningful ownership in what you build. High autonomy, high growth environment. 🌍 Work Setup. Bay Area preferred (hybrid allowed). Visa sponsorship available. We’ll consider remote