#11 Senior Data & AI Engineer

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€


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.πŸΆπŸš€
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.

πŸš€ 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

  • πŸ“Š We are Data Nerds

  • πŸ€— We are Open Team Players

  • πŸš€ We Take Ownership

  • 🌟 We Have a Positive Mindset

πŸ” 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! πŸš€

Responsibilities πŸ€“

  • 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.

Required Skills πŸ’»

  • 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

Nice to have πŸ’»

  • 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.

🎁 Perks

  • 🌍 Remote-first culture – work from anywhere!

  • πŸš€Β In-Company English Lessons.

  • πŸ’ͺ Wellhub or sports club stipend to stay active

  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.

  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)

  • 🀝 Referral bonuses – help us grow the team & get rewarded!

  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

  • πŸ‘Ά Monthly Childcare ReimbursementΒ  – Because supporting families matters too

Summary

Builds a governed data access layer on Databricks for applications, APIs, AI agents and MCPs, with secure reusable patterns, authentication, Unity Catalog governance, traceability and versioned Data Products. Requires 5+ years in data platform architecture or engineering, production Databricks and Unity Catalog experience, API and OAuth2/OIDC/JWT skills, practical generative AI knowledge, technical leadership and a relevant degree.

Responsibilities

Design data access architecture for applications, APIs, AI agents, and MCPs on Databricks; define secure reusable patterns for Data Services, APIs, SQL, functions, and MCP; implement authentication and authorization preserving identity, context, and permissions; integrate access layers with Unity Catalog, policies, masking, and governance controls; design Data Products and Data Services with contracts and versioning; ensure traceability and auditability; integrate Databricks with models, agents, APIs, and platforms; build reusable components; define Data-to-AI standards with Architecture, Security, and Governance teams; work with multiple stakeholders

Qualifications

5+ years in data platform architecture or engineering, integration, or distributed services; production experience with Databricks and Unity Catalog; experience designing APIs and services using OAuth2, OIDC, JWT, and service principals; practical knowledge of generative AI, agents, LLMs, tool/function calling, and MCP; technical leadership with high autonomy; strong communication and stakeholder management; degree in Engineering, Systems, IT, Computer Science, or related fields; technical English

Education requirements

Degree in Engineering, Systems, IT, Computer Science, or related fields

Experience requirements

5+ years of experience in data platform architecture or engineering, integration, or distributed services

Benefits

Remote-first culture; in-company English lessons; Wellhub or sports club stipend; AWS, DBT, Google Cloud, Azure and Databricks certifications fully covered; food credits via Pedidos Ya; birthday off plus extra vacation week; referral bonuses; annual team trip; monthly childcare reimbursement