Data Engineering Lead

Responsibilities:

The Data Engineering Lead will design, build, and scale our enterprise data pipelines and platforms. This role is ideal for someone who thrives in a hands-on technical environment and is passionate about creating reliable, accessible, and high-performance data systems. As a leader in our data organization, you will set technical standards, guide architectural decisions, and ensure our data infrastructure supports both analytics and operational needs across the business.

Essential Functions:

• 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.

Qualifications:

• 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).

Experience:

• 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.

Knowledge, Skills, and Abilities:

• 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.

In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.

Physical Demands: Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.

Travel: No travel

Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

This position is classified as “in-person,” which means the physical office in Orlando.

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.

At Margaritaville at Sea, your total rewards package is much more than your base salary. We provide comprehensive and innovative benefits to meet your needs, including:

Health 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

Financial Benefits:

• 401(k) plan that includes a company match

Paid Time Off

• 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. Part-time with benefits employees receive time off based on the number of hours they work.

Other Benefits

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

Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a fast growing company that offers opportunities for advancement.

In addition to other duties/functions, this position requires full commitment and support for promoting an ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.

Margaritaville at Sea is an equal employment opportunity employer and all qualified applicants will receive consideration for employment on the basis of sex, race, color, sex, sexual orientation, gender identity, genetic information, national origin, religion, age, protected veteran status, disability status, marital status or any other classification protected by applicable local, state, federal, and/or international law.