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Lead, Data Platform Engineer

Royal Caribbean Group

Royal Caribbean Group

Software Engineering
Miami, FL, USA
Posted on Monday, December 11, 2023

Position Overview:

Data Analytics & AI department at RCG is looking for a highly skilled and experienced Data Platform Lead to design, build, and manage our data platform on Azure and Databricks. The successful candidate will be responsible for managing the end-to-end data platform development process, including data ingestion, processing, storage, and analysis. This role requires a strong technical background in data platform architecture, cloud computing, and big data technologies.

This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops.


  • Design, build and configure a highly scalable and robust data platform on Azure and Databricks.

  • Data platform shuld have capabilities of seamless integration & extensibility of existing cloud services to any new program/project initiative.

  • Develop and implement data ingestion and processing pipelines using Azure services such as Azure Data Factory, Azure Stream Analytics, and Databricks

  • Collaborate with cross-functional teams to ensure data platform meets business requirements and industry best practices

  • Manage cloud infrastructure on Azure platform and maintain Azure environment to ensure maxium efficiency, scalability and security.

  • Develop & implement cloud automation and orchestration using tools auch as Azure resource manager, Azure DevOps etc.

  • Collaborate with offshore team members with development & deployment activities, per project requirements.

Required Skills:

Platform Engineering:

  • Proficiency in Python, Scala, or SQL.

  • Expertise in Apache Spark, Hadoop, or Apache Kafka.

  • Cloud experience in Azure (preferred) or AWS.

  • Deployment and management of Databricks clusters.

  • Mastery of Azure Data Factory (ADF) for integration.

  • Expertise with Databricks workspace, runtime, and Databricks Connect.

  • Understanding of Databricks Unity Catalog.

  • Knowledge of Delta Live Tables and Delta Engine.

  • Familiarity with Delta Lake architecture.

  • Strong SQL skills.

Azure Platform Administration:

  • Management of Azure Cloud Services, including VMs, Storage Accounts, and networks.

  • Azure Security Management for policies and access controls.

  • Knowledge of Azure Active Directory and network security.

  • Performance monitoring, resource optimization, backup, and recovery.

  • High Availability (HA), Disaster Recovery (DR), and failover expertise.

  • Azure Services/Resources cost optimization and monitoring.

  • Azure DevOps and CI/CD proficiency.

  • Configure Azure resources, native services, security, and monitoring.

  • Design platform architecture with Azure Cloud Services and Databricks Delta Lake.

  • Create and publish guidelines for Data Integration services.

  • Participate in platform solution architecture, including data architecture.

  • Implement Databricks workspace, runtime, and Databricks Connect.

  • Configure Kafka integration services for real-time streaming and batch processing.

  • Enable Databricks Unity Catalog (UC) for lineage and governance.

  • Design and implement ML Ops for model deployments and inference pipelines.

  • Configure Azure DevOps, CI/CD for seamless deployment.

  • Implement monitoring and logging for Azure Service Groups and system metrics.

  • Ensure platform security, compliance, and data privacy.

ML Ops:

  • Proficient in Python, R, or Java for ML algorithms.

  • Experience with TensorFlow, PyTorch, and other ML frameworks.

  • Efficient code for data processing, model training, and deployment.

  • Cloud platform experience, preferably Azure.

  • Familiarity with Azure ML Services and Azure DevOps.

  • Strong data analytics skills for model training.


  • Bachelor's degree in Computer Science, Information Technology, or related field.

  • 7+ years of experience in cloud infrastructure management, Azure services, and infrastructure architecture

  • Strong understanding of Azure services such as Virtual Machines, Virtual Networks, Storage Accounts, and App Services

  • Experience in monitoring and optimizing Azure infrastructure for performance and efficiency

  • Proven experience and expertise in the respective role's technical skillsets.

  • Strong problem-solving skills and ability to work collaboratively.

  • Excellent communication skills for effective cross-team collaboration.

If you're passionate about leveraging data for informed decisions and thrive in a dynamic, collaborative environment, we invite you to join our team.