Lead, Data Engineer

Royal Caribbean Cruises Ltd•Miami, FL

5d•Onsite

About The Position

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 Analytics Team has an exciting career opportunity for a full-time Lead, Data Engineer reporting to the Director, Data Solutions Engineering. The position is onsite and based in Miramar, Florida. Position Summary: The Lead, Data Engineer is responsible for leading the data engineering functions by delivering enterprise curated data solutions that enables our enterprise-wide Data and AI platform to drive business. S/He will lead the Data Engineering on the ERP modernization project for the next 16 months and any subsequent initiative to deliver an exhaustive set of data products for Finance and Accounting subject areas. S/He will collaborate with 3rd party vendors, business partners and IT stakeholders to ensure the new data products will enable enterprise Finance and Accounting Analytics, reporting and AI capabilities. S/He will oversee the design, architecture, and implementation of the RCG data products for Finance and Accounting. S/he will be responsible for growing and mentoring team members and align with strategic direction for the data engineering goals. This role will require some international travel for meetings.

Requirements

7 + years working with data solution design, development and Implementation, enhanced reporting analytics and/or related experience in Data Analysis and/or data management solutions
Experience in leading the delivery of data solutions for business and digital transformation projects of varying sizes and complexities.
Technical capabilities in: Azure Data Factory (ADF), DataBricks, OracleExadata, Big Data, NoSQL, PL/SQL, SQL, T-SQL
Excellent in managing teams both technical and business and providing guidance and motivating the team to deliver and perform.
Proven leadership skills in Project Management and resource management
Demonstrated ability to closely collaborate with cross-functional teams and managing diverse stakeholders to achieve project objectives and drive successful outcomes
Expertise in data analysis, data integration, data modeling, data auditing, analytical reporting, survey analysis, key drivers, analysis, dashboards, technical troubleshooting
Knowledge of accounting principles and practice and enterprise grade accounting operations, familiar with accounting and finance data
Expertise in leading teams optimizing ETL processes, developing data & analytics solutions and platforms to solve complex scenarios in an agile manner.
Experience with Agile/Dev Ops methodologies and tools
Demonstrates strong analytical and problem-solving skills
Effective verbal, presentation, written and listening communications skills

Responsibilities

Leads, motivates, coaches, empowers a team in the design, build and delivery of enterprise class data products for Finance and Accounting areas, that are reusable and non-perishable using industry and RCG best practices and standards
Establishes and ensures best practices for the software development lifecycle including solution architecture, build, and test
Establishes operational and technical strategies for Data Products including the development of standards, roadmaps, and delivery.
Develops and leverages collaborative relationships within and across the organization to build solutions that will enable data analysis, exploration capabilities to add business value to RCG achieve results.
Provides technical leadership in building foundational systems designed and developed for the enterprise
Develops project and funding proposals for programs that provide continuous delivery of cost-effective data solutions that meet business requirements
Leads recruitment efforts to attract, retain high quality and diverse talent
Drives the maturity and adoption of our current analytics capabilities by progressing from traditional BI to true Analytics to take advantage of the emerging technologies around Descriptive and Predictive Analytics.
Anticipates and analyzes trends in technology while assessing the emerging technologies impacts
Works with product and enterprise teams via both Agile and Waterfall Methodologies