Cloud Engineer – Azure Databricks

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🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sequoia Connect

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 Description

• Design, implement, and administer the Azure foundation supporting the client platform • Author and maintain reusable Terraform modules provisioning Databricks workspaces, ADLS Gen2, Data Factory, Key Vault, networking, and Azure ML • Manage remote state, module versioning, drift detection, and deployment pipelines across development, test, and production • Design and implement private networking and security postures, including private endpoints, hub-and-spoke topology, VNet injection, NSGs, and RBAC • Own ADLS Gen2 infrastructure, including storage architecture, lifecycle policies, encryption, and access patterns • Manage Azure Data Factory platform operations, including integration runtime provisioning, linked-service credential design, and deployment automation • Provision and operate infrastructure for machine-learning workloads, including Azure ML workspaces, GPU capacity planning, MLflow registry integration, and Unity Catalog connectivity • Build and maintain monitoring with Azure Monitor and Log Analytics, including alerting and operational runbooks • Manage FinOps and capacity planning, optimizing DBU and storage costs • Establish platform standards, reference configurations, and multi-workspace strategies for the Databricks administration team • Advise on Unity Catalog metastore design, permission models, and Delta Sharing configurations • Oversee identity and access management through Entra ID integration, SCIM provisioning, and identity federation • Enforce compute governance through cluster policies, instance pools, node-type standards, and serverless evaluation • Perform cross-boundary diagnostics on failures spanning infrastructure, Databricks configuration, and workloads • Guide stakeholders and build consensus around architectural approaches

🎯 Requirements

• 6+ years in cloud infrastructure or platform engineering, with at least 4 years focused on Microsoft Azure • Expert-level, hands-on Terraform experience, including authoring production modules, managing remote state, and running IaC through CI/CD • Demonstrable hands-on Databricks administration experience, including account and workspace administration, Unity Catalog, cluster policies, identity federation, and cost governance • Deep working knowledge of Azure Networking & Security, including private endpoints, VNets, hub-and-spoke design, NSGs, Entra ID, managed identities, RBAC, and Key Vault • Enterprise-scale ADLS Gen2 design and access control experience • Azure Data Factory platform-side experience with integration runtimes, managed VNet, credential management, and deployment automation • Strong Python automation and scripting skills, plus PowerShell and/or Bash • Sufficient working knowledge of Spark and SQL to diagnose infrastructure/configuration-level performance issues • Track record as a senior technical partner capable of guiding stakeholders and building consensus around architectural approaches • Resilience, emotional intelligence, and focus on agile delivery • Deep understanding of the difference between coding and engineering • Advanced oral English • Advanced Spanish • Desired: Databricks Asset Bundles, Terraform Databricks provider, workspace-as-code patterns • Desired: Unity Catalog migration or multi-workspace consolidation experience • Desired: Azure Machine Learning, MLflow, or model-serving infrastructure experience • Desired: Kubernetes/AKS and containerized workloads experience • Desired: Policy as Code experience with Azure Policy, OPA, Sentinel, or Checkov • Desired: Event-driven infrastructure familiarity with Event Hubs, Kafka, or Stream Analytics • Desired: Formal FinOps practice experience • Desired: Multi-region or multi-tenant Databricks deployment experience • Relevant certifications are desired, including Databricks Certified Data Engineer Professional, Databricks platform administrator credential, Microsoft Azure Solutions Architect Expert (AZ-305), Azure Administrator Associate (AZ-104), DevOps Engineer Expert (AZ-400), or HashiCorp Certified Terraform Associate

🏖️ Benefits

• Remote work arrangement • Flexibility to support your lifestyle • Global career opportunities • Exposure to high-impact projects • Work within an international network of expertise • Work on end-to-end digital transformation projects • Workplace recognized as one of the most sustainable corporations in the world