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Data Product Architect (AI)

145 000 - 155 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Product Architect (AI) (Enterprise Data & Analytics): Designing scalable data models, production-ready pipelines, and intelligent data products for Customer Success and Professional Services Operations with an accent on Snowflake, Oracle Data Warehouse, Power BI, and AI-assisted analytics. Focus on translating operational requirements into technical architectures, automating workflows, and ensuring reliable reporting and compliance across cross-functional projects.

Location: Hybrid in Morrisville, North Carolina, United States, with presence at the hirify.global RTP office three days per week

Salary: $145,000–$155,000 annual on-target earnings, including potential commission

Company

hirify.global provides enterprise data infrastructure and storage services across Google Cloud, AWS, and Microsoft Azure.

What you will do

  • Design and refine scalable data models for enterprise analytics, reporting, metadata, and performance.
  • Build, enhance, and assess production-ready data pipelines using Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS.
  • Use AI tools for coding assistance, SQL generation, data modeling, and conversational analytics.
  • Create data products that automate workflows and improve operational decision-making.
  • Translate CSOps and PSOps business needs into technical designs and architectural documentation.
  • Collaborate with Project Managers, Delivery Managers, Architects, and other cross-functional stakeholders using Waterfall and Agile/Scrum methodologies.

Requirements

  • Expertise in SQL, RESTful APIs, and Python; NoSQL experience is advantageous.
  • At least five years of experience with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.
  • At least five years of Power BI experience, including semantic modeling, DAX, dashboards, and enterprise reporting.
  • Proficiency with Git-based version control and Azure DevOps CI/CD.
  • At least two years of experience using AI tools for coding, SQL generation, data modeling, and conversational analytics.
  • Bachelor’s degree in computer science or management information systems, plus strong communication, analytical, and stakeholder collaboration skills.

Nice to have

  • Snowflake SnowPro Core Certification.
  • TOGAF 9 or TOGAF Standard, Version 10 Certification.
  • Microsoft Certified: Power BI Data Analyst Associate.
  • Five to eight years of experience, including three or more years in Business Analytics or related domains.

Culture & Benefits

  • Hybrid working environment focused on collaboration and connection.
  • Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, employee stock purchase plans, and restricted stock units.
  • Culture emphasizes ownership, customer focus, inclusivity, initiative, and high performance.
  • Flexibility is provided to support work-life balance.

Hiring process

  • Applications are reviewed through the company website.
  • Some stages for select roles may use AI tools to support application evaluation and candidate selection, with human decision-making retained.

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