Mgr 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.

• Data Warehousing and Legacy System Management: 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; also good exposure on dbt, Matillion and any other ELT / ETL tools.
• Team Leadership: Direct and mentor a team of data developers and engineers; ensure team alignment with project goals and company objectives; lead architecture decisions; manage vendor partners; work with Product Owners, Dev Ops and prioritize activities; manage delivery through Agile methodologies; provide transparency through reporting on backlog, data quality metrics, and platform health.
• Project Execution: Manage the execution of data engineering projects ensuring they meet defined objectives; collaborate with cross-functional teams for integrated project delivery.
• Technical Guidance: Provide technical expertise in data warehousing technologies and legacy systems; stay updated on industry trends to guide the team effectively.
• Stakeholder Engagement: Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs; communicate project progress and challenges effectively.
• Quality Assurance: 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.

• Degree Type: Bachelor’s Degree
• Field(s) of Study: Business Management, Computer Science, Industrial Engineering, or related
• Experience: Minimum of 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 with a focus 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; also, experience/exposure with Snowflake, dbt, Matillion and any ELT / ETL tools.

• Proven experience in data warehousing technologies, legacy system management, strong communication, and stakeholder engagement abilities.
• Strong listening, presentation, and 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 abilities under uncertainty and ability to manage multiple priorities and deadlines for a team.
• Ability to drive results independently.
• Innovation, process improvement, creativity, and clean‑sheet reinvention.
• Proven success with collaboration between cross‑functional teams.
• Demonstrated understanding of agile methodologies, QA practices, user experience, with strong digital & technical skills.
• Consensus and diplomacy skills with ability to handle varying differences in opinions.
• Experienced with collaboration tools (Jira, Confluence, Lucid Chart).
• Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake.
• Experience with traditional on‑prem virtual and physical infrastructure, as well as cloud‑based environments, preferably AWS.
• Excellent understanding of Windows, and Linux based infrastructure.
• Working knowledge of various tools, open‑source technologies, and cloud services.

It is 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.