#11 Senior Data & AI Engineer

1 нед. назад

АргентинаSeniorHybrid

databricks

Work as a Senior Data & AI Platform Engineer building governed data access layers and integrating Databricks with AI architecture for a leading financial institution.

О компании

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for a Senior Data & AI Platform Engineer to join our team and work on a long-term project with a leading financial institution in Argentina.🐶🚀 You will build the governed access layer that lets applications, APIs, AI agents, and MCPs consume data and capabilities securely, with full traceability and reusability, moving from direct data access to governed Data Services and Data Products, and connecting Databricks with the AI architecture of the organization.
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset

Обязанности

Design the data access architecture for applications, APIs, AI agents, and MCPs on top of Databricks.
Define secure, reusable patterns for exposing data and capabilities (Data Services, APIs, SQL, functions, and MCP).
Implement authentication and authorization that preserve the identity, context, and permissions of each consumer.
Integrate access layers with Unity Catalog, policies, masking, and governance controls.
Design Data Products and Data Services with clear contracts and versioning.
Ensure traceability and auditability of users, services, agents, and the resources they query.
Integrate Databricks with models, agents, APIs, and internal or external platforms.
Build reusable components that accelerate new AI initiatives.
Define Data-to-AI standards together with the Architecture, Security, and Governance teams.
Work with multiple stakeholders across the organization, translating technical decisions into clear, aligned outcomes.

Будет плюсом

Experience with AI services on Databricks.
Experience with API Management platforms.
Experience in data governance frameworks and tooling.
Experience in banking, financial, or other regulated environments.

Условия

🌍 Remote-first cultur e – work from anywhere!
🚀 In-Company English Lessons.
💪 Wellhub or sports club stipend to stay active
🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
🍕 Food credits via Pedidos Ya – because great work deserves great food.
🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
🤝 Referral bonuses – help us grow the team & get rewarded!
✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
👶 Monthly Childcare Reimbursement – Because supporting families matters too

Другое

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
Amazon Web Services
Astronomer
Databricks
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: agents, LLMs, tool/function calling, and the Model Context Protocol (MCP).
Ability to lead technically and define standards with high autonomy.
Strong communication and stakeholder management skills, working across Architecture, Security, Governance, Development, and AI teams.
Degree in Engineering, Systems, IT, Computer Science, or related fields.
Technical English skills