Cloud Data Platform Engineer (Databricks Platform Engineering) (4813)

Come work for a large global financial and insurance products company! This is your chance!!Start a successful career in a renowned company in the international market! Great opportunity!Global insurance and asset management company seeks a responsible, organized, dynamic and team-oriented person.Responsabilidades e atribuiçõesWe are seeking a highly skilled Cloud Data Platform Engineer to design, deploy, administer, and optimize enterprise-scale Databricks platforms across cloud environments. This role will be responsible for building and maintaining secure, scalable, and reliable data platforms that enable analytics, machine learning, and AI-driven business solutions. The ideal candidate combines expertise in cloud infrastructure, platform engineering, data technologies, security, automation, and Databricks administration. Experience with Databricks AI capabilities, including Generative AI, Vector Search, MLflow, and Mosaic AI, is highly desirable.Key ResponsibilitiesDatabricks Platform Engineering:Design and deploy Databricks workspaces, clusters, and platform components in Azure and/or AWS;Build and maintain scalable, secure, and highly available Databricks environments;Establish platform standards, architecture patterns, and operational best practices;Configure and manage Unity Catalog, Delta Lake, and workspace governance frameworks;Implement platform lifecycle management, upgrades, and capacity planning.Cloud Infrastructure & Automation:Provision infrastructure using Infrastructure-as-Code tools such as Terraform;Automate platform deployments and configuration management;Design networking, private connectivity, and secure integration patterns;Implement backup, disaster recovery, and high-availability solutions;Optimize cloud resource utilization and manage platform costs.Security & Governance:Implement enterprise security controls and compliance requirements;Configure role-based access controls and least-privilege access models;Manage secrets, key vault integrations, and encryption standards;Establish monitoring, audit logging, and governance controls;Support regulatory and security audits.Platform Operations & Reliability:Monitor platform health, availability, and performance;Develop observability solutions for infrastructure and data workloads;Troubleshoot platform, networking, and workload issues;Create operational runbooks and support processes;Lead root-cause analysis and remediation efforts.Collaboration & Technical Leadership:Partner with Data Engineers, Data Scientists, AI Engineers, and Cloud Infrastructure teams;Provide technical guidance on platform architecture and operational excellence;Develop engineering standards and reusable automation patterns;Mentor engineers and promote cloud engineering best practices.AI & Advanced Analytics Support (Preferred)Support Databricks AI and machine learning environments;Enable MLflow experimentation, model tracking, and deployment capabilities;Support Mosaic AI, Vector Search, Feature Store, and RAG architectures;Assist teams implementing Generative AI and Large Language Model solutions;Develop infrastructure and governance frameworks supporting AI workloads;Evaluate new Databricks AI capabilities and recommend adoption strategies.Requisitos e qualificaçõesRequired QualificationsEducation:Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.Experience:5+ years of experience in cloud engineering, platform engineering, or infrastructure engineering;3+ years of hands-on experience deploying and administering Databricks environments;Experience supporting enterprise cloud platforms in Azure and/or AWS;Experience designing highly available, secure, and scalable cloud solutions.Technical SkillsDatabricks:Databricks Administration;Unity Catalog;Delta Lake;Workspace Management;Cluster Configuration and Optimization;Databricks Workflows;Job Scheduling;Identity and Access Management.Cloud Platforms:Microsoft Azure;Amazon Web Services (AWS).