Senior Data Engineer

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

We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

 

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

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

 

Position Summary:

The Senior Data Solutions Engineer is responsible for building, managing, and optimizing complex reusable enterprise data pipelines effectively and in a timely manner through the development lifecycle to be used by internal consumers, such as business/data analysts and data scientists.  With the acquisition of Silversea into the Group, this role will focus on the integration of Silversea data into the existing data landscape, which includes the next-generation data platform, that supports the enterprise, as well as the Customer Data Platform (CDP) Engineering, which is essential to our eCommerce initiatives. The Senior Engineer would 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.  

• Strong experience in requirements engineering and the design, development, and deployment of ETL and Data Modeling.
• A broad set of skills and knowledge including software, systems and solution development spanning multiple technical domains
• Strong communication skills including the ability to socialize, influence and gain support for proposed technology and solution architectures from the business and IT community.
• Technical team leadership, mentorship, and collaboration as well as the ability to cultivate strong working relationships with end-users, peers, and vendors

 

Essential Duties and Responsibilities:

• Engage with analysts throughout the organization to understand common data requests and key metrics.
• Create and maintain technical design documentation
• Lead requirements gathering, data mapping and designing
• Design full lifecycle of data from source to target including data profiling, data mapping and data cataloguing.
• Create, build, and maintain complex data pipelines from disparate sources that meet functional / non-functional business requirements
• Create, maintain, and reuse existing ETL/ELT processes, employing a variety of data integration and data preparation tools
• Mentor engineers in finding optimal and efficient solutions for designing, preparing, and storing data for analytical and operational use cases.  
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing pipelines for greater scalability, etc.
• Work with stakeholders including Product, Data and Business teams to assist with data-related technical issues and support their data needs
• Create datasets for: (1) operational reports, key performance indicators/metrics, or other insights into current organizational activities, (2) 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
• Write, debug and implement complex queries involving multiple tables or databases acros