Data Engineering Lead: Real-Time Pipelines & Platform

Margaritaville at Sea; Orlando (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company match

Paid time off

Cruise employee discounts

Job summary

Margaritaville at Sea is seeking a Senior Data Engineer to design and build scalable data pipelines for real-time and batch analytics, based in Orlando. You will lead the architecture of the enterprise data platform, selecting technologies and guiding implementation to ensure security, performance, and adaptability.

You will establish data engineering standards, enforce quality with monitoring and governance, and collaborate with analytics, product, and engineering teams to translate business

Qualifications

• 7+ years in data engineering with leadership experience.
• Strong SQL and Python for pipeline development.
• Hands-on ETL/ELT with cloud platforms (GCP or Azure).
• Data modeling, API development, and scalable architecture.

Responsibilities

• Design and develop scalable data pipelines for real-time and batch processing.
• Lead architecture of the enterprise data platform, selecting technologies and overseeing implementation.
• Establish and enforce technical standards for data engineering practices.
• Ensure data reliability via monitoring, governance, and accessible tooling.
• Collaborate with analytics, product, and engineering teams to translate requirements into technical solutions.

Skills

SQL

Python

ETL/ELT

Cloud platforms (GCP/Azure)

Data modeling

API development

CI/CD

Git

Leadership

Mentoring

Communication

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

GCP

Azure

Job description

Margaritaville at Sea is seeking a Senior Data Engineer to design and build scalable data pipelines for real-time and batch analytics, based in Orlando. You will lead the architecture of the enterprise data platform, selecting technologies and guiding implementation to ensure security, performance, and adaptability.

You will establish data engineering standards, enforce quality with monitoring and governance, and collaborate with analytics, product, and engineering teams to translate business