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MUTT DATA

Senior Data Platform Engineer, DataOps

MUTT DATA

. Design and implement CI/CD for Databricks, including controlled promotion across environments .

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

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Data Platform Engineering and DevOps practices, with a strong focus on CI/CD implementation, Infrastructure as Code, and observability. Proficient in optimizing platform performance and applying FinOps practices within enterprise environments.

Highest-signal resume keywords
Databricks Production ExperienceCI/CD ImplementationTerraform ProficiencyCloud Infrastructure KnowledgeStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Platform EngineeringDataOpsDevOpsSRECI/CDGitInfrastructure as CodeObservabilityFinOps PracticesProblem Solving
Soft Skills
Autonomous WorkCollaborationTechnical Standards Definition
Tools & Technologies
TerraformDatabricksMonitoring ToolsLogging ToolsAlerting Tools
Certifications & Qualifications
Degree in EngineeringDegree in SystemsDegree in IT
Industry Keywords
Enterprise Data PlatformsBankingFinancialRegulated EnvironmentsHigh-Criticality Environments

Tech Stack

Tools & technologies
CloudTerraform

About the role

Key responsibilities & impact
  • 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
  • Build a governed access layer for applications, APIs, AI agents, and MCPs to securely consume data and capabilities
  • Connect Databricks with the organization's AI architecture

Requirements

What you’ll need
  • 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)
  • Nice to have: Knowledge of FinOps practices and tooling
  • Nice to have: Experience operating enterprise data platforms
  • Nice to have: Experience in banking, financial, regulated, or high-criticality environments
  • Nice to have: Technical English

Benefits

Comp & 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
  • Birthday off + an extra vacation week (Mutt Week!)
  • Referral bonuses
  • Annual Mutters' Trip
  • Monthly Childcare Reimbursement