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Роль четко сфокусирована на архитектуре данных в AWS, сочетая проектирование с практической работой и управлением данными. При оценке предложения важно учесть контракт на 12 месяцев и обязательные дни в офисе Атланты.
Актуальные технологии
Понятные задачи
Данные для ИИ
?Срочный контракт
?Три дня в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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