#11 Senior Data & AI Engineer
Senior Data & AI Platform Engineer at Muttdata, a remote-first data/ML consultancy, building the governed data access layer on Databricks (Unity Catalog, secure APIs, OAuth2/OIDC, AI agents, MCP) for a long-term project with a leading financial institution in Argentina.
- Compensation
- Not disclosed
- Location
- Buenos Aires
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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 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 related fields
- Technical English skills
Nice to have
- 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
Full description
🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀
At Muttdata, 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.
🚀 What We Do
- 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.
🌟 Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
- 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.