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5 часов назад

Data Architect, Corporate Services (Finance)

170 000 - 190 000$
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
Data Architect, Corporate Services (Finance) (Snowflake/dbt): Building and governing Carlyle’s Corporate Finance Data Warehouse to replace fragmented SSIS, SSRS, and SSAS reporting with certified finance data products, with an accent on data architecture, lineage, quality, and semantic modeling. Focus on migrating legacy reporting to Snowflake, leading engineers and contractors, implementing AI-driven data quality monitoring, and ensuring audit-ready reliability under SOX scrutiny.

Location: Washington, DC; in-office 4 days per week

Base salary: $170,000–$190,000 per year, plus potential annual discretionary incentive compensation.

Company

Global investment firm managing private equity, credit, and AlpInvest strategies across multiple regions and investment vehicles.

What you will do

  • Own the end-to-end architecture and delivery of the Corporate Finance Data Warehouse across ingestion, transformation, semantic, and consumption layers.
  • Design and build Snowflake data platform layers and govern dbt models for certified finance metrics used in Sigma Computing and Power BI.
  • Lead migration from legacy SSIS, SSRS, and SSAS reporting, including metric translation, reconciliation, and retirement of legacy systems.
  • Establish data governance, column-level lineage, data dictionaries, access controls, masking, and audit-ready SOX evidence.
  • Implement finance knowledge graphs, business context layers, trust signals, incident tracking, and AI-driven data quality monitoring.
  • Lead analytics and data engineers, contractors, and offshore teams while partnering with Finance, Platform, DevOps, Security, Legal, and Compliance.

Requirements

  • Bachelor’s degree required; computer science, engineering, information systems, or a related quantitative field preferred.
  • 10+ years of relevant data engineering or data architecture experience and demonstrated people management or technical leadership experience.
  • Hands-on experience with modern cloud data platforms, Snowflake, dbt, ingestion and orchestration tools such as Fivetran or Airflow, and governed BI or semantic layers.
  • Experience with SQL, dimensional modeling, Python, Azure and/or AWS, enterprise integrations, and production data quality, lineage, governance, and audit controls.
  • Experience migrating legacy SSIS, SSRS, SSAS, or comparable platforms to modern cloud data architectures.
  • Experience in financial services and exposure to production applied AI or LLM workflows are preferred.

Culture & Benefits

  • Leadership role with responsibility for developing a high-performing engineering team and setting technical standards.
  • Benefits include retirement benefits, health insurance, life and disability insurance, paid time off, and paid holidays.
  • Additional benefits include family planning support and wellness programs.
  • Potential eligibility for an annual discretionary incentive program based on individual and organizational performance.

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