Senior Data & AI Platform Engineer — Remote, Governed Data

Muttdata

Buenos Aires

Remote

ARS 2,000,000 - 4,000,000

Full time

5 days ago

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Benefits offered by this job

Remote-first culture – work from anywe

English lessons

Certifications covered (AWS, DBT, GCP,

Databricks certifications covered

Food credits via Pedidos Ya

Birthday off + extra vacation week

Referral bonuses

Annual team trip

Childcare reimbursement

Job summary

Muttdata is a remote-first startup building data products and AI solutions for clients. We seek a Senior Data & AI Platform Engineer to design governed data access, drive security, and enable reusable Data Services and APIs. You will connect Databricks with enterprise AI architectures and collaborate with Architecture, Security, Governance, and AI teams.

Join a fast-growing team delivering scalable data infrastructures, GenAI-powered solutions, and a strong culture of learning and ownership.

Qualifications

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.

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.
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.