Manager Data Engineering

Job Summary The Manager of Data Engineering is tasked with leading a team dedicated to data warehousing and supporting legacy integrations and data applications. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy systems. Position Responsibilities Lead the development and maintenance of data warehousing solutions. Manage legacy integrations and data application enhancements. Experience with SaaS-based solutions and hands‑on experience on Snowflake, Oracle, SQL Server. Exposure to dbt, Matillion and other ELT/ETL tools. Direct and mentor a team of data developers and engineers, ensuring alignment with project goals and company objectives. Lead architecture decisions and manage vendor partners. Collaborate with Product Owners, DevOps and prioritize activities, managing delivery through Agile methodologies. Provide transparency through reporting on backlog, data quality metrics, and platform health. Manage the execution of data engineering projects, ensuring they meet defined objectives, and collaborate with cross‑functional teams for integrated delivery. Provide technical expertise in data warehousing technologies and legacy systems, staying updated on industry trends. Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs, communicating progress and challenges effectively. Ensure adherence to best practices in data governance and security, maintaining high standards of quality in data engineering outputs. Perform other job‑related functions as assigned. Qualifications Bachelor's Degree in Business Management, Computer Science, Industrial Engineering, or related field. Minimum of 7 years of experience developing, validating, and implementing data warehouses, data systems, or cloud-based data solutions. 2+ years of experience managing a team. Experience in data engineering with a focus on data warehousing and legacy systems. Proficiency with multiple data modeling approaches, SQL, and scripting languages such as Python and PowerShell. Experience with Agile methods and tools like JIRA. Strong communication, stakeholder engagement, presentation, and interpersonal skills. Excellent analytical, problem‑solving, written, and verbal communication skills. Ability to prioritize and execute tasks in a high‑pressure, fast‑paced environment. Decision‑making abilities under uncertainty and capacity to manage multiple priorities and deadlines for a team. Innovation, process improvement, creativity, and a commitment to continuous improvement. Experience with collaboration tools such as Jira, Confluence, and Lucid Chart. Strong understanding of databases including Microsoft SQL Server, Oracle, MySQL, HANA, and Snowflake. Experience with on‑prem virtual and physical infrastructure and cloud‑based environments, preferably AWS. Proficiency with Windows and Linux‑based infrastructure. Working knowledge of open‑source technologies and cloud services. Equal Opportunity Employer Norwegian Cruise Line Holding’s policy is not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or marital or veteran status. The above statements describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. #J-18808-Ljbffr Norwegian Cruise Line Holdings Ltd.