Senior Data & AI Platform Engineer

MUTT DATA

. Design the data access architecture for applications, APIs, AI agents, and MCPs on top of Databricks .

Posted 10/30/2026full-timeBuenos Aires • ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing data access architecture and implementing secure APIs and services, with a strong focus on Databricks and Unity Catalog. Proven ability to lead technical initiatives and collaborate effectively across diverse teams while ensuring compliance with data governance standards.

Highest-signal resume keywords

Data Platform ArchitectureDatabricksAPI Design and ImplementationGenerative AI KnowledgeData Governance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Access ArchitectureAPI DevelopmentOAuth2OIDCJWTModel Context ProtocolData ServicesData ProductsIntegrationTraceability

Soft Skills

Strong CommunicationStakeholder ManagementTechnical Leadership

Tools & Technologies

Unity CatalogAPI Management PlatformsDatabricks

Industry Keywords

BankingFinancial ServicesRegulated EnvironmentsData Governance

Tech Stack

Tools & technologies

SQLUnity

About the role

Key responsibilities & impact

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 through Data Services, APIs, SQL, functions, and MCP
Implement authentication and authorization preserving 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 queried resources
Integrate Databricks with models, agents, APIs, and internal or external platforms
Build reusable components accelerating new AI initiatives
Define Data-to-AI standards with Architecture, Security, and Governance teams
Collaborate with stakeholders across the organization and translate technical decisions into aligned outcomes

Requirements

What you’ll need

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
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
Technical English communication skills (intermediate or higher)

Benefits

Comp & perks

Remote-first culture – work from anywhere
In-Company English Lessons
Wellhub or sports club stipend
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
Food credits via Pedidos Ya
Birthday off + an extra vacation week (Mutt Week!)
Referral bonuses
Annual Mutters' Trip
Monthly Childcare Reimbursement