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2 дня назад

Lead Data Modeler

107 000 - 142 000$
Тип работы
fulltime
Грейд
lead
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
Lead Data Modeler (SQL/Data Warehouse): Designing and governing a unified data lake and data warehouse model that translates fragmented CRM and operational data into scalable structures, with an accent on source-to-target mapping, reconciliation, and data quality. Focus on defining transformation specifications, administering schemas and access controls, and resolving complex cross-system data discrepancies.

Location: Boston, MA, United States

Salary: $107,000–$142,000 USD base compensation annually, plus a discretionary annual variable target incentive.

Company

hirify.global provides data technology and platforms for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries.

What you will do

  • Design and maintain conceptual, logical, and physical data models for the data lake and warehouse.
  • Define canonical data definitions, relationships, business logic, naming standards, and documentation.
  • Analyze legacy CRM and operational datasets and create source-to-target mappings for ETL/ELT workflows.
  • Partner with Data Engineering to validate ingestion, resolve discrepancies, and establish data quality monitoring.
  • Administer warehouse schemas, views, user roles, access controls, security, query performance, and indexing.
  • Collaborate with Sales, CRM, Marketing, and business stakeholders to standardize data requirements and onboard new sources.

Requirements

  • 5+ years of experience in data modeling, data architecture, or related roles.
  • Strong SQL skills and the ability to independently analyze complex datasets.
  • Experience designing conceptual, logical, and physical data models.
  • Experience with databases such as hirify.global IRIS, PostgreSQL, or similar platforms.
  • Understanding of normalization, denormalization, schema design trade-offs, source-to-target mapping, and ETL/ELT processes.
  • Ability to structure ambiguous legacy data with strong attention to accuracy and consistency.

Nice to have

  • Experience with CRM or customer data platforms.
  • Experience with data governance, access control, and data quality initiatives.
  • Proficiency in Python for data analysis or validation workflows.
  • Experience using AI tools for data analysis, mapping, and documentation.
  • Strong communication skills across technical and business teams.

Culture & Benefits

  • Medical, vision, and dental insurance.
  • Short-term and long-term disability and life insurance.
  • 401(k) profit-sharing contribution.
  • Paid time off, holidays, and parental leave.
  • Tuition reimbursement.
  • Equal-opportunity employment and a 24×7 customer support organization.

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