Manager Data Engineering

Manager of Data Engineering

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.

• 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, dbt, Matillion and other ELT/ETL tools.
• Direct and mentor a team of data developers and engineers, ensuring alignment with project goals.
• Lead architecture decisions and manage vendor partners.
• Work with Product Owners, Dev Ops and prioritize activities, managing delivery through Agile methodologies.
• Provide transparency through reporting on backlog, data quality metrics, and platform health.
• Manage execution of data engineering projects ensuring they meet defined objectives.
• Collaborate with cross-functional teams for integrated project delivery.
• Provide technical expertise in data warehousing technologies and legacy systems, staying updated on industry trends.
• Engage stakeholders, align data engineering efforts with business needs.
• Communicate project progress and challenges effectively.
• Ensure adherence to best practices in data governance and security.
• Maintain high standards of quality in data engineering outputs.
• Perform other job-related functions as assigned.

• Bachelor’s Degree in Business Management, Computer Science, Industrial Engineering, or related field.
• Minimum 7 years’ 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 focused on data warehousing and legacy systems.
• Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and Power Shell.
• Experience with Agile methods & tools like JIRA.
• Experience leading and coaching team members.

• Proven experience in data warehousing technologies, legacy system management.
• Strong communication, stakeholder engagement, listening, presentation, interpersonal skills.
• Excellent analytical, problem-solving, verbal, and written communication skills.
• Ability to prioritize and execute tasks in a high-pressure, fast-paced environment.
• Excellent decision-making under uncertainty, manage multiple priorities and deadlines.
• Ability to drive results independently.
• Innovative, process improvement, creativity, and clean-sheet reinvention.
• Collaboration with cross-functional teams.
• Strong digital & technical skills, understanding of agile methodologies, QA practices, user experience.
• Consensus and diplomacy skills to handle differences in opinions.
• Experience with collaboration tools (Jira, Confluence, Lucid Chart).
• Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake, and experience with on-prem virtual/physical infrastructure and cloud-based environments, preferably AWS.
• Excellent understanding of Windows and Linux infrastructure; knowledge of open-source technologies and cloud services.

Norwegian Cruise Line Holding’s policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status. The above statements are intended to 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.