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Margaritaville at Sea · 1 day ago

Data Engineering Lead

Orlando, FL

Full-time

Onsite

Senior Level

7+ years exp

Margaritaville at Sea is focused on creating fun and escapism for its guests, and they are seeking a Data Engineering Lead to design, build, and scale their enterprise data pipelines and platforms. This role involves setting technical standards and guiding architectural decisions to ensure the data infrastructure supports analytics and operational needs across the business.

Adventure TravelTourismTravelTravel Agency

Hiring Manager

McLane Evans

Responsibilities

Design and develop scalable data pipelines: The Data Engineering Lead will be responsible for building and maintaining robust data pipelines that support both real-time and batch processing. These pipelines will serve as the backbone of the company’s data infrastructure, enabling seamless data flow across systems and ensuring that analytics and operational teams have access to timely, accurate information

Lead the architecture and implementation of the enterprise data platform: This role involves setting the technical direction for the data platform, including selecting appropriate technologies, designing scalable architecture, and overseeing implementation. The Data Engineering Lead will ensure the platform is secure, high-performing, and adaptable to evolving business needs

Establish and enforce technical standards for data engineering practices: The successful candidate will define and uphold best practices for coding, testing, documentation, and deployment within the data engineering team. By creating a strong foundation of standards, this role will promote consistency, maintainability, and quality across all data-related projects

Ensure data reliability and accessibility: A key function of this role is to implement monitoring and alerting systems that proactively identify data issues. The Data Engineering Lead will also develop frameworks for data quality and governance, ensuring that stakeholders can trust and easily access the data they need

Collaborate with analytics, product, and engineering teams: This role requires close partnership with cross-functional teams to understand their data needs and deliver tailored solutions. The Data Engineering Lead will translate business requirements into technical specifications and ensure that data products support strategic decision-making and operational efficiency

Qualification

Data engineeringSQLPythonETL/ELT toolsCloud platformsData modelingAPI developmentProblem-solvingTeam leadershipCommunication skillsAttention to detail

Required

Minimum of 7 years of experience in data engineering, with at least 2 years in a leadership or team lead role

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (preferred)

Proven expertise in SQL and Python for data manipulation and pipeline development

Hands-on experience with ETL/ELT tools and cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure

Strong understanding of data modeling, API development, and integration patterns for scalable data architecture

Familiarity with CI/CD pipelines, version control systems (e.g., Git), and workflow automation for data engineering processes

Exceptional problem-solving skills with a keen attention to detail

Ability to lead and mentor engineering teams, fostering collaboration and technical excellence

Strong communication skills to effectively work across cross-functional teams and translate business needs into technical solutions

Capacity to manage multiple priorities in a fast-paced environment while maintaining high standards of quality and reliability

Benefits

Cost-effective medical, dental and vision plans

Employee Assistance Program and other mental health resources

Additional programs include company paid term life insurance and disability coverage

401(k) plan that includes a company match

Holidays – All full-time and part-time with benefits employees receive days off for 10 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion.

Vacation Time – All full-time employees at the below the Director level start with 15 days/year; Director and above level have Discretionary Time Off, which for Directors is generally 15 days and for VPs and above 21 days.

Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends