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Data Architect​/资深数据架构师

Job in Dubai, Dubai, UAE/Dubai
Listing for: OneBullEx
Full Time position
Listed on 2026-02-09
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Architect / 资深数据架构师

Overview

One Bull Ex  is transitioning into an AI-driven exchange. One Bull Ex  正在转型为一家 AI 驱动的交易所。 As a Staff Data Architect, you are the master designer of the nervous system that feeds our AI. 作为资深数据架构师,你是构建 AI 底层神经系统的核心总设计师。 You won t just manage databases; you will architect the autonomous data structures required for AI agents to reason, execute, and manage complex financial workflows.

你不仅仅是管理数据库,更要构建自动化数据结构,以支持 AI 智能体进行推理、执行并管理复杂的金融工作流。 Your mission is to bridge the gap between raw Crypto market behaviors and the "Single Source of Truth" that powers our autonomous trading ecosystem. 你的使命是消除原始加密市场行为与支撑自动化交易生态的"唯一事实来源"之间的鸿沟。

Core Responsibilities
  • Instrumentation & Tracking / 全链路采集与埋点
  • Protocol Design:
    Define unified tracking standards across App/Web/H5. 协议设计: 统一 App/Web/H5 全平台的埋点标准。
  • Design high-dimensional protocols for unique Crypto interactions (e.g., K-line scaling, leverage slider adjustments). 针对加密货币特有的交互(如 K 线缩放、杠杆滑块调节)设计高维度协议。
  • Full-Link Attribution:
    Ensure a seamless data path from external acquisition (KOLs, Ads) through KYC to first trade conversion. 全链路归因: 确保从外部获客(KOL、广告)到 KYC 再到首次交易转化的数据链路无断点。
  • Quality Control:
    Establish automated validation to eliminate "missing or inconsistent" data, ensuring absolute raw data purity for AI training. 质量管控: 建立自动化校验机制以消除"漏报或口径不一"的数据,确保 AI 训练原始数据的绝对纯净。
  • All-Domain Logical Modeling / 全链路逻辑建模
  • Trading & Assets:
    Unify Spot and Futures logic. 交易与资产: 统一现货与合约的业务逻辑。
  • Design multi-currency and sub-account reconciliation models. / 设计多币种及子母账户的对账模型。
  • Growth & ROI:
    Build refined models linking frontend behavior with backend flows for end-to-end ROI analysis. 增长与 ROI: 构建精细化模型,联通前端行为与后端流水以实现端到端 ROI 分析。
  • Risk & Compliance:
    Design logical layers for real-time exposure monitoring and bot/wash-trading detection. 风控与合规: 设计实时敞口监控及机器人刷量行为检测的逻辑层。
  • Governance & Single Source of Truth / 统一指标与治理
  • Metric Store:
    Lead the company-wide Metric Store to ensure DAU, AUM, and Volume are consistent across all AI agents and dashboards. 指标中心: 主导公司级指标库建设,确保 DAU、AUM 和交易额在所有 AI 智能体和看板中口径一致。
  • Data Lineage:
    Build systems to track data origin, ensuring any schema changes are instantly evaluated for downstream impact. 数据血缘: 构建追踪数据来源的系统,确保任何表结构变更都能即时评估对下游的影响。
  • AI-Driven Automation / AI 驱动自动化
  • Code-as-Model:
    Use AI to accelerate SQL writing and tracking-code generation. 代码即模型: 利用 AI 加速 SQL 编写和埋点代码生成。
  • Autonomous Governance:
    Implement "AI to govern AI data" frameworks to maintain model documentation in real-time. 自主治理: 实施"以 AI 治理 AI 数据"的框架,实时维护模型文档。
Candidate Requirements
  • Crypto Expertise (Mandatory): 3+ years in CEX/DEX environments. 行业经验(硬性): 3 年以上 CEX/DEX 环境经验。
  • You must understand trading engine logs and on-chain data. 你必须深入理解交易引擎日志和链上数据。
  • Master Modeler: 5+ years of Kimball dimensional modeling. 建模专家: 5 年以上 Kimball 维度建模经验。
  • Expert in handling billion-row snapshot tables and cold/hot data separation. 精通处理亿级快照表及冷热数据分离。
  • Tracking Veteran:
    Expert-level experience with Sensors Data, Amplitude, or Mixpanel. 埋点老兵: 具备神策数据、Amplitude 或 Mixpanel 的专家级经验。
  • AI Native:
    Proficiency in AI coding tools and a forward-thinking mindset on how LLMs interact with structured data. AI 原生: 熟练使用 AI 编码工具,并对大模型如何与结构化数据交互具有前瞻性思维。
  • Resilience:
    Ability to maintain data integrity during extreme market volatility. 抗压能力: 能够在市场剧烈波动期间保持数据的完整性与准确性。
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