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13 часов назад

HR Data Solutions Architect (Azure Databricks)

185 200 - 210 000$
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
HR Data Solutions Architect (Azure Databricks): Modeling and migrating HR Warehouse data and related sources to an enterprise Lakehouse with an accent on HR domain modeling, source-to-target mapping, governance, and data quality. Focus on designing Medallion architecture layers, resolving cross-system HR identifiers, validating legacy-to-cloud cutover, and protecting sensitive HR data.

Location: Chicago, Illinois; hybrid. Applicants must be authorized to work in the United States without employer sponsorship.

Salary: $185,200–$210,000 per year if located in Illinois, plus bonus eligibility and comprehensive benefits.

Company

hirify.global is a legal services organization with enterprise data, analytics, and technology operations.

What you will do

  • Serve as the subject-matter authority for core HR, payroll, benefits, talent, time and attendance, and organizational data.
  • Design and govern conceptual, logical, and physical HR data models across bronze, silver, and gold Medallion layers.
  • Lead source-to-target mapping and migration from legacy HR systems and the HR Warehouse to an Azure Databricks Lakehouse.
  • Define systems of record, sources of truth, entity resolution, and cross-system HR key management.
  • Partner with data engineering, governance, and HR stakeholders on integration, validation, reconciliation, and cutover.
  • Improve metadata, lineage, cataloging, documentation, data quality, and handling of sensitive HR and PII data.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Science, HRIS, or a related field.
  • At least 5 years of experience in data modeling, data architecture, or HR data and systems roles.
  • Deep experience with HR systems such as Workday or SAP SuccessFactors, including integrations.
  • Experience designing conceptual, logical, and physical data models and applying dimensional modeling.
  • Strong data integration background covering APIs, ETL/ELT, middleware, SQL, data warehousing, governance, metadata, and data quality.
  • Must be authorized to work in the United States without current or future employer sponsorship.

Nice to have

  • Hands-on experience with Azure Databricks, Delta Lake, Spark/PySpark, Unity Catalog, Azure Data Factory, or ADLS.
  • Experience migrating on-premises or legacy warehouses to cloud Lakehouse platforms.
  • Knowledge of MDM, entity resolution, HR privacy and compliance frameworks, and legal or financial services.
  • Experience mentoring analysts, data engineers, or data modelers.

Culture & Benefits

  • Hybrid work arrangement in Chicago, Illinois.
  • Bonus eligibility and a comprehensive benefits program.
  • Collaborative work with data engineering, data governance, and HR stakeholders.
  • Opportunities to mentor engineers and analysts on data modeling and migration practices.

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