11 дней назад
Analytics Platforms Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Platforms Architect (AI): Building shared data and analytics platforms, including a governed semantic layer for consistent business metrics, with an accent on data architecture, production systems, and AI-enabled analytics workflows. Focus on designing scalable platform components, enabling AI agents to use trusted data safely, reconciling financial metrics, and driving cross-functional technical initiatives.
Location: US; remote
What you will do
- Define the architecture and technical direction for 's semantic layer and shared analytics platform.
- Establish governed, consistent definitions for business metrics across markets and teams.
- Design and build production data models, pipelines, services, tooling, SDKs, and other platform components.
- Develop context and governance layers that enable AI agents and analytics teams to work safely with trusted data.
- Lead technical initiatives across Product, Engineering, Analytics, Finance, and Accounting.
- Set architecture standards, reduce technical debt, mentor engineers, and improve data documentation and usability.
Requirements
- Significant experience in data engineering, software engineering, analytics engineering, data platforms, or a related technical field.
- Experience designing and building large-scale or shared data platforms and infrastructure.
- Strong experience with data architecture, data modeling, pipelines, and production systems.
- Ability and willingness to write production code and build alongside engineers.
- Experience leading complex technical initiatives across multiple teams without direct authority.
- Strong problem-solving, communication, and stakeholder collaboration skills.
Nice to have
- Experience establishing trusted, governed, or standardized business metrics.
- Experience with AI/LLM-powered analytics, data workflows, or agents.
- Experience working with financial, regulated, or highly sensitive data.
Culture & Benefits
- Hands-on individual contributor role operating at Principal/Staff-level scope.
- Opportunity to build and lead a platform team as the organization grows.
- Cross-functional collaboration across Product, Analytics, Engineering, Finance, and Accounting.
- Technical decisions are expected to be carried through production delivery rather than handed off.
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