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9 дней назад

FP&A Systems Principal Professional / Data Solutions Architect (AI)

138 840 - 208 000$
Формат работы
onsite
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
FP&A Systems Principal Professional / Data Solutions Architect (AI) (Data Warehousing/Analytics): Designing and optimizing enterprise data warehousing, data quality, governance, security, and integration services with an accent on SQL Server, Oracle, Snowflake, Databricks, and AI-enabled analytics. Focus on tuning high-performance platforms for thousands of users, building master-data quality and cataloging solutions, and productionizing governed, accurate, and explainable AI solutions.

Location: Santa Clara, California, United States

Salary: $138,840–$208,000 per annum, plus eligibility for bonus and equity plans.

Company

hirify.global develops semiconductor solutions that form core infrastructure for enterprise, cloud, AI, and carrier architectures.

What you will do

  • Act as the technical authority for data warehousing architecture, design, performance tuning, and continuous improvement.
  • Lead database solution design for strategic business analytics projects and translate business needs into scalable data structures.
  • Design and develop data quality, data dictionary, cataloging, syndication, retention, migration, and service bus capabilities.
  • Build integrated security solutions and promote data integration across the enterprise application landscape.
  • Provide technical leadership through policy definition, quality-control workflows, change-control standards, and documentation.
  • Partner with data science and engineering teams to identify and productionize governed, accurate, and explainable AI-enabled data solutions.

Requirements

  • Bachelor’s degree in Information Systems, Computer Science, or a related discipline.
  • 10+ years of experience developing data warehouse solutions for global enterprises.
  • Experience with SQL Server, Oracle, Snowflake, Databricks, multiple DBMS platforms, and data integration tools.
  • Experience integrating SaaS and unstructured data sources, with strong query performance-tuning skills.
  • Knowledge of enterprise data architecture, server administration, identity management, storage, indexing, security, data quality, semantic solutions, dictionaries, and cataloging.
  • Experience or exposure to AI, ML, or GenAI-enabled data and analytics transformation initiatives.

Nice to have

  • Semiconductor industry experience.

Culture & Benefits

  • Full-time employment within the Enterprise Business Applications group.
  • Employee stock purchase plan with a two-year lookback.
  • Bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
  • Family support programs and mental and physical health resources.
  • Recognition and service awards.

Hiring process

  • Interviews evaluate individual experience, thought process, and communication skills in real time.
  • AI tools, transcription apps, automated answer generators, and automated note-taking bots are not permitted during interviews.
  • Access to export-controlled technology may require an export license review before employment.

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