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Embedding Vcvia Ashby
Founding Data Engineer (Core Data Platform)
San Francisco Bay AreaPosted 1mo ago
Data EngineerMid LevelFull-time
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About the Role
🎨 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
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
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