Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкий senior-фокус на управляемом доступе к данным для AI и современная технологическая основа; перед решением стоит уточнить детали проекта у клиента и условия гибридной работы.
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Проект для банкаАктуальный стекПонятная зона ответственностиДополнительные бонусы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data & AI Platform Engineer (Databricks): Building a governed access layer for applications, APIs, AI agents, and MCPs with an accent on secure data services, identity-aware authorization, and Databricks integration. Focus on designing reusable Data Products and APIs, implementing governance and traceability, and defining Data-to-AI standards across architecture, security, and AI teams.
Location: Buenos Aires, Argentina; hybrid work
Company
hirify.global is a remote-first startup building Data Products, Machine Learning systems, scalable data infrastructures, and custom AI solutions for clients across multiple industries.
What you will do
Design the data access architecture for applications, APIs, AI agents, and MCPs on Databricks.
Define secure, reusable Data Services, APIs, SQL, functions, MCP patterns, contracts, and versioning.
Implement authentication and authorization while preserving consumer identity, context, and permissions.
Integrate access layers with Unity Catalog, policies, masking, governance controls, models, agents, APIs, and internal or external platforms.
Ensure traceability and auditability of users, services, agents, and queried resources.
Build reusable components and define Data-to-AI standards with Architecture, Security, Governance, Development, and AI stakeholders.
Requirements
5+ years of experience in data platform architecture or engineering, integration, or distributed services.
Production experience with Databricks and Unity Catalog.
Experience designing and implementing APIs and services using OAuth2, OIDC, JWT, and service principals.
Practical knowledge of generative AI, including agents, LLMs, tool/function calling, and MCP.
Ability to lead technically and define standards with high autonomy.
Strong communication and stakeholder management skills across Architecture, Security, Governance, Development, and AI teams.
Degree in Engineering, Systems, IT, Computer Science, or a related field.
Nice to have
Experience with AI services on Databricks.
Experience with API Management platforms.
Experience with data governance frameworks and tooling.
Experience in banking, financial, or other regulated environments.
Technical English communication skills at intermediate level or higher.
Culture & Benefits
Remote-first culture with work-from-anywhere flexibility, alongside the stated hybrid arrangement.
In-company English lessons and covered AWS, dbt, Google Cloud, Azure, and Databricks certifications.
Wellhub or sports club stipend, food credits, and monthly childcare reimbursement.
Birthday day off and an additional vacation week.
Referral bonuses and an annual team trip.
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