About Us

At Preferred Travel Group, we care deeply about our people, nurture independence, and celebrate individuality.  Family values inspire us, and we believe that change creates opportunity. We are committed listeners and deliberate storytellers in hospitality. We engineer potential, foster trust, and co-create brighter futures. Our culture values collaboration, adaptability, and precision—qualities essential to every role. We are forever curious, guided by the Pineapple as our global symbol of hospitality. We believe the business of hospitality is borderless, and we proudly embrace that spirit every day.

We believe that every team member brings unique strengths to the table, and we’re committed to creating an environment where those strengths can thrive. 

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Position Summary

We are looking for a strategic, hands‑on, and people‑focused Manager, Data Engineering to lead a cross‑functional technical team responsible for designing, building, and supporting the company’s data and analytics estate. This role balances people leadership, technical oversight, and delivery management, ensuring the team executes effectively while adhering to company standards, architectural best practices, and long‑term scalability goals.

Under the general supervision of the department director, the Manager, Data Engineering leads a team of technical professionals and plays a critical role in shaping how data solutions are delivered across the organization. The manager collaborates closely with engineering and business partners, serving as the primary representative for the data engineering team and ensuring strong two‑way communication—translating business needs into clear, actionable work while ensuring the team understands organizational priorities, expectations, and outcomes.

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Key Responsibilities

People Leadership & Team Management

• Lead, coach, and develop a high-performing, collaborative technical team through regular 1:1s, feedback, goal setting, and performance reviews.
• Manage team capacity, schedules, time-off planning, and on-call/support rotations as applicable.
• Foster a positive, inclusive, and upbeat team culture; build cohesion across varied disciplines and experience levels.
• Encourage continuous learning through mentorship, training plans, knowledge sharing, and support for skill development and career growth.

Technical Leadership & Architecture Oversight

• Maintain awareness of the department’s overall data estate, ensuring team decisions align with long-term strategy and do not create future constraints.
• Contribute to, review, and approve technical designs, ensuring security, performance, scalability, maintainability, and cost considerations are addressed.
• Document and ensure adherence to internal engineering patterns and standards (naming, code structure, deployment practices, observability, documentation, security, etc.).

Delivery & Agile Project Leadership

• With the project manager, lead agile ceremonies and delivery practices, including stand-ups, backlog refinement, planning, retrospectives, and stakeholder check-ins.
• Partner with stakeholders to translate business priorities into actionable roadmaps and well-defined tickets.
• Ensure appropriate task sizing, estimation, prioritization, and clear acceptance criteria to support predictable execution.
• Manage delivery risk: proactively surface blockers, dependencies, scope concerns, and trade-offs; keep work moving while protecting quality.

Stakeholder Communication & Representation

• Serve as the primary voice for the team outside the team and the primary voice of the department/business within the team.
• Maintain clear, consistent communication with business partners and technical stakeholders regarding status, timelines, risk, and outcomes.
• Partner with stakeholders to clarify requirements, align on priorities, and ensure delivered solutions provide measurable business value.

Operational Support & Quality

• Ensure high availability and reliability of team-owned systems through monitoring, alerting, incident response practices, and root-cause resolution.
• Drive quality through code reviews, testing standards, release practices, and post-implementation validation.
• Establish and maintain operational documentation and runbooks to support consistent support and knowledge transfer.

Hands-on Support

• As needed, and as a last resort, contribute directly to technical work (design, debugging, code reviews, small fixes) to unblock delivery, support critical incidents, or guide best-practice implementation—while keeping the primary focus on leadership and oversight

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Required Experience/Qualifications

This position is classified as a Manager role and requires significant prior experience in a data engineering–related field, including people leadership, in addition to the following:

• Bachelor’s degree in Computer Science, Information Systems, or other relevant degree/related field, or equivalent professional experience    
• Expert knowledge of modern data and analytics platforms
• Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C#
• Expert knowledge of cloud data platforms and tooling (Azure/Fabric preferred)
• Experience with Machine Learning, Predictive Analytics, and/or Artificial Intelligence projects
• Demonstrated ability to lead predictable delivery using agile practices. 
• Proven ability to mentor and grow technical team members and build team culture.
• Excellent verbal and written communication skills.

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Typical Behaviors & Working Style

The ideal candidate will demonstrate the following behavioral traits:

• Preference for varied tasks or projects. Comfortable balancing multiple simultaneous projects in a fast-paced environment.
• Focus is on technical and analytical work. Must adhere to established standards and guidelines, troubleshooting problems based on expert knowledge.
• Needs to make decisive, quick decisions within a pre-defined span of control, adhering to accepted quality standards, policies, and procedures. Will also train others to make and uphold accurate decisions.
• Communicates based on the task or technical needs at hand, defining clear team roles. Minimal collaboration is required, although they must prioritize specific tasks or problems.
• Leads according to specialty or expertise. Will act with conviction to ensure quality standards, rarely delegating. When delegation is required, follow up will be close.

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Preferred Working Environment & Job Characteristics

This role is best suited to someone who thrives in a:

• Leadership focused data engineering environment, taking ownership of team performance, technical direction, and delivery outcomes. 
• High standards, quality driven setting, where scalable architecture, reliability, security, and governance are non negotiable. 
• Fast paced, multi priority environment, balancing people leadership, delivery oversight, stakeholder needs, and operational demands.

The ideal candidate will find great satisfaction in:

• Leading and developing high‑performing technical teams, fostering collaboration, accountability, and continuous improvement.
• Setting technical direction and engineering standards, ensuring data solutions are robust, scalable, and aligned with long‑term strategy.
• Partnering with business and technical stakeholders, translating complex needs into clear priorities and measurable outcomes.
• Driving consistent, high‑quality delivery, while maintaining operational excellence and supporting business‑critical systems.

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What success in this role looks like

• A high‑performing data engineering team delivering consistently, with clear direction, accountability, and strong engagement.
• Reliable, scalable, and well‑governed data platforms that support critical business decisions.
• Business needs translated into clear technical outcomes, delivering measurable value.
• Strong stakeholder trust, built through clear communication, predictable delivery, and high standards.

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Working Conditions

This is a fully remote position. All technology required will be provided.

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Training

• Orientation via some live remote and some pre-recorded video sessions
• IT security training
• Internal development process and procedures
• Company-approved AI technology

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Disclaimer

The above information is designed to indicate the general nature and level of work performed. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

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Salary

$150,000 - $180,000 actual compensation within this range will be determined by multiple factors including candidate experience and expertise.