Назад
Company hidden
7 часов назад

Senior Data & AI Platform Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →