Enterprise Data Architect

- Equity Partner -

Location: Remote

Jurisdiction: Global

Minimum Commitment: 20 hours/week

Core Function: Data Architecture, Intelligence Layer Design, Execution-Grade Structuring

Department: TechCore - Enterprise Architecture - Data Systems

Reports To: Master Architect

This is not a job. It's a stake.

What You Put In Is What You Get Out

This isn’t about database administration. This is about defining the intelligence substrate across every system Anime Universe builds.

Minimum Commitment: 20 hours/week. If that’s not realistic, it’s not the right fit. No hard feelings. We operate on clarity—not stretch.

This is an equity partner role. That means:

• No upfront cash compensation
• Equity (Shares): Founding or domain-specific tier depending on track
• Token-Based Rewards: Potential future compensation (pending compliance)
• Future Salary: Activates with revenue benchmarks
• Remote First: Globally distributed, async-native, autonomy-driven culture

Let’s Be Absolutely Clear

We don’t need analytics consultants.

We don’t need schema tweakers.

We need data architects who think in systems—not tables—who can design real-time, recursive, multi-surface intelligence infrastructure.

If your idea of architecture stops at the warehouse—this isn’t it.

If you can define a unified execution data thread that scales from user behavior to platform logic—step in.

Overview

As Enterprise Data Architect, you will define and govern the execution data fabric across every operational lane. From creative tooling telemetry to AI learning streams to system performance signals—you’ll architect the intelligence backbone of the entire organization.

Your job is to unify, not just store. To model recursive insight loops. And to make data a first-class citizen in every execution pattern.

You’ll partner across Engineering, AI Systems, UX, Treasury Logic, and Governance to formalize data definitions that inform, align, and accelerate.

What You'll Own

• Design the unified data model across products, systems, creators, and services
• Architect streaming pipelines, event-driven schemas, and behavior-linked analytics scaffolds
• Define real-time intelligence layers for user behavior, system health, and AI-driven outcomes
• Map data lineage across components with enforced governance and semantic traceability
• Build frameworks for insight recursion—data that improves the system, not just reports it
• Partner with architects across cloud, product, and platform layers to enforce structured interoperability

What We're Looking For

• 10+ years in data architecture, distributed analytics, or real-time systems design
• Strong background in event streaming, telemetry systems, semantic modeling, and architecture governance
• Experience designing zero-to-one data stacks for executional insight, not just analytics
• Familiarity with recursive feedback models, signal interpretation, and logic-aligned structuring
• Bonus: background in multi-agent data contexts, product telemetry loops, or real-time creative ecosystems

Our Promise

You will own the intelligence thread—system-wide.

You will bring execution and data into perfect lockstep, turning platform feedback into recursive signal.

If you’ve been waiting to architect data not as a byproduct, but as a pillar—this is the one.