Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предполагает понятную архитектурную ответственность на senior-уровне в области данных и AI/ML, но широкий клиентский охват и формат аутстаффинга могут означать смену проектов и меньшую стабильность контекста.
?Широкая зона задач
Клиентские проекты
Актуальная специализация
Понятные требования
Оплачиваемый отпуск
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Architect (AI/ML): Designing scalable enterprise data platforms, distributed pipelines, API-first ecosystems, and AI-enabled workflows for digital transformation engagements with an accent on cloud architecture, data governance, and client advisory. Focus on evaluating architectural trade-offs, integrating marketing data sources, guiding engineering teams, and aligning technical solutions with security, privacy, and compliance requirements.
Location: Remote in LATAM
Company
hirify.global provides nearshore staff augmentation and technology solutions, partnering with U.S. companies on digital transformation projects. The client is a digital transformation agency delivering digital products, customer experiences, platforms, marketing solutions, and AI-enabled modernization.
What you will do
Lead solution design and architectural decisions for medium to large engagements involving enterprise data platforms, pipelines, and AI-enabled workflows.
Assess existing architectures, identify gaps, define future-state roadmaps, and produce system diagrams, integration maps, architecture decision records, and technical standards.
Guide engineering teams through implementation, contribute hands-on during critical phases, and mentor engineers on architectural decisions.
Facilitate discovery workshops and translate client business requirements into scalable system designs.
Evaluate cloud data platforms, frameworks, and third-party integrations while designing distributed pipelines, composable platforms, and API-first ecosystems.
Support data-source integrations, governance, security, privacy, compliance, technical pre-sales, RFP responses, SOW development, and executive presentations.
Requirements
7+ years of software or data engineering experience, including 2+ years focused on architecture or solution design.
Broad expertise across cloud infrastructure, APIs, data platforms, and modern technology ecosystems.
Deep expertise in cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift, including the ability to explain architectural trade-offs.
Proficiency in Python and SQL for data processing and ETL.
Experience designing scalable, maintainable distributed systems and enterprise-scale API ecosystems.
Experience integrating AI/ML capabilities into data pipelines, with exposure to generative AI applications, AI-powered coding tools, agentic engineering, and AI-enabled workflows.
Experience applying data governance, privacy compliance, and security best practices.
Ability to work directly with client technical teams, translate business needs into architecture, and act as a trusted technical advisor.
Experience presenting architecture artifacts to technical and executive audiences, with strong stakeholder management and consensus-building skills across engineering, business, and creative teams.
Culture & Benefits
100% remote work from LATAM with a laptop and reliable internet connection.
Competitive compensation paid in USD.
Paid time off and emphasis on well-being and work-life balance.
Autonomy to manage working time based on results.
Projects with leading U.S. companies and collaboration across a multicultural network of 600+ professionals in 25+ countries.
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