Manager, Data Engineering

Preferred Travel Group

6h•$150,000 - $180,000•Remote

About The Position

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.

Requirements

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.

Responsibilities

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.
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.).
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.
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.
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.
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