Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Очень качественная вакансия с современным AWS стеком, четкими ожиданиями и отличными сигналами по work-life balance. Единственный минус - не указана зарплата.
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Зарплата не указанаСовременный стек AWSЗдоровый балансПонятный scope
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (AWS): Defining and building a governed AWS data foundation with an accent on layered lakehouse architecture, analytical data safety, and reusable engineering patterns. Focus on data classification, PII handling, lineage, residency, managed AWS services, and contextual data layers that reduce GenAI token consumption.
Location: Hybrid, with 3 days per week in the Atlanta, GA office on Tuesday, Wednesday, and Thursday. The broader company also operates a hybrid office in Oakville, Canada.
Company
hirify.global provides cloud-based software for procurement, budgeting, payments, and grants management for public sector and government organizations across North America.
What you will do
Define a managed AWS reference architecture, engineering patterns, and governance posture for the data program.
Design layered data models from raw through cleansed and curated data to a safe analytical layer containing no sensitive data.
Establish governance for data classification, constituent PII handling, access control, lineage, and residency.
Create reusable patterns for data capture, land-and-store, transform-and-serve, and governance.
Design loosely coupled integrations with operational systems using change-data-capture or scheduled extracts.
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 the governance controls applied across them.
Experience designing contextual or semantic data layers that reduce GenAI token consumption and improve the speed and cost of downstream AI features.
Hands-on knowledge of managed AWS data services such as Glue, Athena, Lake Formation, and DMS or equivalent, with a preference for managed services 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 an appropriately scoped blueprint, defer work that the backlog does not yet require, and provide clean, documented patterns that a small team can execute.
Nice to have
Familiarity with dbt and warehouse-side modeling such as Redshift.
Familiarity with 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
Hybrid work with three days per week in the Atlanta or Oakville offices and working arrangements for remaining days determined by the role and manager.
Two additional Eunafier Days each year, attached to a long weekend.
Up to eight hours of paid philanthropy time annually.
Development support through budget, mentorship, AI and government technology learning, and opportunities for career growth.
Community engagement through donations, shared expertise, and employee connection initiatives.
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