#12 Senior Data Platform Engineer / DataOps
Buenos Aires, Argentina15h ago
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Key details
- Location
- Buenos Aires, Argentina
- Work style
- Hybrid
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- DevOps / Infrastructure
- Focus area
- Data engineering & Analytics
- Posted
- 15h ago
Skills
awsci/cddatabricksdeep learningdemand planningdevopsforecastinggenerative aigitinfrastructure as codeinfrastructure automationmachine learningobservabilityquality controlsecrets managementsreterraform
About the role
🚀 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 Platform Engineer / DataOps 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.
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
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.
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.
- Technical English.
🎁 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