Lead, Data Engineer

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

The Royal Caribbean Group’s Data Analytics and AI team has an exciting career opportunity for a full time Lead, Data Solutions Engineer reporting to the Senior Manager, Data Solutions Engineering.

This position will work on-site in Miramar, Florida.

 

Position Summary:

 

The Lead Data Solutions Engineer is responsible for leading the delivery, managing and operationalizing data solutions pipelines in support of data and analytics use cases using appropriate methodologies, technologies including extract, transform and load of data. This role will focus on building Revenue data products. Additionally, this role will contribute to the technical solutioning and building of our Data as a Service capabilities. The Lead Solutions Data Engineer will use both technical and analytical skills to understand and solve business problems using available resources and current technology stack, while ensuring data governance and data security compliance. The lead will mentor junior engineers in finding optimal and efficient solutions for designing, preparing, and storing data for analytical and operational use cases.    The role is expected to drive/lead the delivery of one or more data solution components/products from project inception through its delivery in close collaboration with cross-team members, which includes functional and technical resources.

 

Essential Duties and Responsibilities:

 

• Leads data engineering development projects which include the design of complex flexible, durable, reusable and scalable data pipelines and frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data employing a variety of data integration and data preparation tools for on premises and cloud for different business scenarios.
• Lead collaborative team working with other areas to ensure that all solutions are complete, operable, conform to business processes, and meet the business needs with the agreed quality of service
• Evaluates ETL/ELT best practices within the industry to learn principles and applications and drive development adoption and trains others  
• Design, maintain, and build event-based, real-time, and micro-batch data pipelines utilizing a variety of data integration and data preparation tools
• Design and implement high-frequency data science model results for operational purposes.
• Create solutions for: (1) analytics and data science to provide the ability to uncover the answers to major questions that help organizations make objective decisions and/or gain a competitive edge (2) operational reports, key performance indicators/metrics, or other insights into current organizational activities.
• Leads data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
• Leads requirements gathering.
• Anticipates any obstacles and makes plans accordingly to ensure that stakeholder requirements are fully reflected in data architecture outcomes.
• Collaborate with the Enterprise Architecture team to ensure alignment on data standards and processes.  
• Work with data and analytics experts to strive for greater functionality in data systems.   
• Coordinates data architecture project resources to effectively achieve business goals.
• Solves complex issues in target data architecture design processes (e.g. data management process modeling, data entity matrix design).
• Ensure the end-to-end solution is fit for purpose, meet the needs of business, the agreed requirements, and are both pragmatic and supportive of the strategic architecture dire