#12 Senior DataOps Engineer

Muttdata; Buenos Aires; Remote; ARS 107,614,000 - 153,735,000; Full time

Benefits offered by this job

Remote-first culture - work from anyw­

In-Company English Lessons.

Wellhub or sports club stipend

AWS, DBT, Google Cloud, Azure & Databr

Food credits via Pedidos Ya

Birthday off + extra vacation week (M$

Referral bonuses

Annual Mutters' Trip

Monthly Childcare Reimbursement

Job summary

Muttdata, a remote-first startup, seeks a Senior DataOps Engineer to industrialize Databricks as the corporate data platform, enabling self-service data products and scalable operations.

You will design CI/CD for Databricks, manage IaC for workspaces and policies, and work with Architecture, Security and Governance to ensure reliability and FinOps efficiency.

Qualifications

• 5+ years in Data Platform Engineering, DataOps, DevOps, SRE or similar roles.
• Production experience with Databricks in enterprise environments.
• Strong CI/CD and Git practices.

Responsibilities

• Design and implement CI/CD for Databricks, including controlled promotion across environments.
• Manage Infrastructure as Code for workspaces, permissions, compute, service principals, and policies.
• Create reusable templates and standards for new data products and pipelines.
• Automate the onboarding of data products, users, and services.
• Implement observability: monitoring, logging, alerting, and operational metrics.
• Define SLOs/SLAs, retries, reprocessing, and recovery mechanisms.
• Collaborate with Architecture, Security, Infra, Governance, and Development teams.

Skills

Data Platform Engineering

DataOps

Databricks

CI/CD

Terraform

Cloud IAM & Secrets

Autonomous Working

Communication Skills

English Proficiency (Technical)

Education

Engineering/IT degree

Tools

Git

Terraform

Databricks

Job 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 DataOps Engineer to join our team and work on a long-term project with a leading financial institution in Argentina.

Your mission will be to industrialize Databricks as the corporate data platform, with a standardized, automated, observable, and reliable model to develop and operate data products, reducing manual tasks and individual dependencies and enabling self-service so the platform can scale without increasing the operational load on the team.

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 and implement CI/CD for Databricks, including controlled promotion across environments.
• Manage Infrastructure as Code for workspaces, permissions, compute, service principals, and policies.
• Create reusable templates and standards for new data products and pipelines.
• Automate the onboarding of data products, users, and services.
• Implement observability: monitoring, logging, alerting, and operational metrics.
• Define SLOs/SLAs, retries, reprocessing, and recovery mechanisms.
• Optimize platform reliability, performance, and capacity.
• Apply FinOps practices: tagging, cost allocation, and cost optimization.
• Document standards, runbooks, and operational procedures.
• Collaborate with Architecture, Security, Infrastructure, Governance, and Development teams to align platform decisions.

Required Skills

• 5+ years of experience in Data Platform Engineering, DataOps, DevOps, SRE, or similar roles.
• Production experience with Databricks in enterprise environments.
• Solid experience with CI/CD and Git.
• Hands-on experience with Terraform (or an equivalent Infrastructure as Code tool).
• Cloud knowledge: IAM, service principals, secrets management, networking, and infrastructure automation.
• Ability to work autonomously, solve complex problems, and define technical standards.
• Strong communication skills to work with multiple teams across the organization.
• Degree in Engineering, Systems, IT, or related fields.
• Technical English.

Nice to have

• Experience with observability tools (monitoring, logging, alerting).
• Knowledge of FinOps practices and tooling.
• Experience operating enterprise data platforms.
• Experience in banking, financial, regulated, or high-criticality environments.

Perks

• Remote-first culture - 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