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6 дней назад

Data Architect (AWS)

Формат работы
hybrid
Тип работы
project
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 (AWS/Data Governance): Defining and building a managed AWS data foundation with an accent on layered lakehouse architecture, governance, and reusable engineering patterns. Focus on designing sensitive-data-safe analytical layers, decoupling operational systems through CDC or extracts, and enabling efficient AI features through contextual data layers.

Location: Hybrid, with 3 days per week in the Atlanta, GA office on Tuesday, Wednesday, and Thursday.

Company

hirify.global provides cloud-based software for procurement, budgeting, payments, and grants management to public sector and government organizations across North America.

What you will do

  • Define a managed AWS reference architecture focused on reliability and low operational overhead.
  • Design layered data models from raw through cleansed and curated data to a sensitive-data-safe analytical layer.
  • Establish governance for data classification, constituent PII, access control, lineage, and residency.
  • Create reusable patterns for data capture, storage, transformation, serving, and governance.
  • Design loose coupling with operational systems through change-data-capture or scheduled extracts.
  • Set guardrails for governed data workflows and build data products directly when delivery requires additional hands-on support.

Requirements

  • Senior data architecture experience with production AWS systems, including S3-based lake or lakehouse designs and a governed analytical layer.
  • Deep knowledge of medallion or layered data architectures and cross-layer governance controls.
  • Experience designing contextual or semantic data layers that reduce GenAI token consumption and improve downstream AI performance and cost.
  • Hands-on knowledge of managed AWS data services, including Glue, Athena, Lake Formation, and DMS or equivalent; managed services are preferred over self-run systems.
  • Experience designing data classification, PII handling, access control, lineage, and residency controls, ideally in a regulated or public sector context.
  • Ability to define appropriately scoped blueprints, defer unnecessary work, and hand off clean, documented patterns that a small team can execute.

Nice to have

  • Familiarity with dbt, warehouse-side modeling such as Redshift, and low-code orchestration such as n8n.
  • Experience with Canadian data residency requirements and multi-region AWS deployments.
  • Experience establishing governance from day one rather than retrofitting it later.

Culture & Benefits

  • Contract engagement for 12 months with a hybrid working arrangement.
  • AI tools are encouraged to support creativity, efficiency, and decision-making, with responsible use expected.
  • Additional paid Eunafier Days are provided twice a year.
  • Employees receive up to eight hours per year for philanthropic activities.
  • Development support includes budget, mentorship, AI and government technology learning, and opportunities for progression.

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