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2 дня назад

Business Data Architect (Finance)

150 000 - 180 000$
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
Business Data Architect (Finance/Data Architecture): Designing and implementing complex business data models, data products, and integrations for finance reporting, self-service analytics, and enterprise data strategy with an accent on data governance, data platform operations, and stakeholder collaboration. Focus on translating large data initiatives into technical designs, assessing data flows and risks, and optimizing database performance across Snowflake, AWS S3, and AWS Glue.

Location: Newark, NJ; hybrid work with two days per week in the Newark office and remote work the rest of the time.

Salary: USD 150,000–180,000 annually; bonus eligible.

Company

hirify.global provides financial technology and business data solutions and is executing a Finance Digital Transformation strategy.

What you will do

  • Design, architect, implement, and maintain complex conceptual, logical, and physical data models for finance business use cases and reporting.
  • Translate stakeholder requirements and large data initiatives into technical designs, business data products, integrations, and trusted reporting solutions.
  • Work with finance stakeholders, product owners, business units, data governance, technology, and data engineering teams to deliver business priorities.
  • Support the data platform as a product, manage data operations, and ensure data accuracy, completeness, consistency, documentation, and metadata quality.
  • Assess data flows, duplication, risks, and gaps; develop target-state roadmaps and identify improvement opportunities.
  • Support project and program managers, facilitate meetings and presentations, resolve database performance issues, and communicate progress and findings.

Requirements

  • 10+ years of relevant experience.
  • Strong understanding of data architecture and implementation, SQL, and data modeling concepts.
  • Ability to create and maintain conceptual, logical, and physical data models.
  • Experience with data warehousing and ETL processing using Snowflake, AWS S3, AWS Glue, or similar technologies.
  • Experience tuning and optimizing database queries.
  • Experience working on medium-scale projects and handling day-to-day operational requests from the business.
  • Strong knowledge and experience in data governance concepts and implementation.
  • Ability to foster strong relationships and communicate complex data concepts to non-technical stakeholders.
  • Strong analytical, problem-solving, communication, and documentation skills.

Culture & Benefits

  • Hybrid work with flexibility to work remotely outside the required office days.
  • Collaborative, engaging, and inclusive workplace focused on empowering associates.
  • Comprehensive benefits offerings.
  • Bonus eligibility.
  • AI-based tools may support application review, with human involvement in employment decisions.

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