Lead Data Engineer

Join TravelNet Solutions as a Lead Data Engineer!

At TravelNet Solutions (TNS), we’re transforming the hospitality industry with innovative technology solutions.

We are looking for a Lead Data Engineer to design, implement, and guide the evolution of our data systems. In this senior role, you will not only develop and maintain high-quality, consistent datasets for analytics and future machine learning initiatives but also shape and influence the organization’s data strategy.

You’ll leverage deep expertise in data architecture, DataOps, orchestration, software engineering, and data management to lead a team of engineers and collaborate with cross-functional stakeholders. By driving best practices, ensuring data quality, and aligning technical initiatives with business goals, you’ll play a pivotal role in building customer-focused solutions that enhance engagement, streamline operations, and deliver meaningful insights. Your contributions will directly support our mission to deliver world-class hospitality technology and give the company a competitive advantage through data.

Why TNS?

• Industry Leader: We’re a best-in-class hospitality company dedicated to revolutionizing the industry through innovative technology solutions.
• Customer Engagement: Our commitment to enhancing customer engagement drives us to build cutting-edge solutions that empower property management teams worldwide.
• Professional Growth: Engage in continuous learning opportunities and attend industry-leading conferences including AWS re:Invent, and our annual NEXT User Conference. 
• Collaborative Culture: Work alongside a passionate and dedicated team committed to excellence and customer success.
• Competitive Compensation: Comprehensive benefits package and a competitive salary commensurate with experience.
  
  
  

If you’re a forward-thinking data professional passionate about innovation and eager to make a significant impact in the hospitality industry, we’d love to hear from you.

Our Core Values reflect the behaviors that shape the tone of how we work with each other, our partners, and our customers::

• Serve Others: Nurturing growth to help others succeed.
• Grit: Taking ownership and never giving up on what matters most.
• Create the Future: Innovating to disrupt the status quo.
  
  
  

Why Join Us?

• Be part of a fast-moving, dynamic team focused on growth and success.
• Work alongside a talented, collaborative, and supportive team.
• Work for a portfolio company offering a one-vendor solution for SaaS technology, marketing, and distribution.
• Help reshape the hospitality industry through technology and service innovation.
  
  
  

Perks and Benefits:

• Full medical, dental, and vision coverage.
• Flexible Paid Time Off.
• Unlimited access to professional training and development.
• Health Savings Account with up to a $2,000 annual match.
• Flexible work environment.
• Free life insurance and long-term disability coverage.
• Flexible Spending Accounts.
• Retirement plan with employer match.
• Free snacks and soda in the office.
• $150 quarterly gift for personal use.
• Competitive wages.
• Attend top industry events like AWS re:Invent.
• Work with an amazing team!
  
  
  

Responsibilities

• Strategic Data Architecture & Design:
• Define, implement, and continuously refine scalable, cost-effective data architectures that meet current and future business needs.
• Identify opportunities to adopt off-the-shelf solutions or build custom tools where they confer a clear competitive edge.
• Establish and enforce standards for data modeling, data governance, and system design.
  
  
  

Leadership & Team Development:

• Lead and mentor a team of data engineers, fostering a culture of continuous improvement, learning, and innovation.
• Provide technical guidance, set performance goals, and support professional development.
• Promote best practices in DataOps, testing, and quality assurance, ensuring the team delivers reliable and well-structured data pipelines.
  
  
  

Data Engineering Lifecycle Management:

• Oversee and implement data ingestion pipelines from diverse source systems, evaluating batch vs. streaming approaches.
• Implement and optimize storage solutions (data warehouses, data lakehouses) for performance, security, and cost control.
• Implement and maintain reliable, high-performance transformation processes, ensuring consistent application of business logic.
  
  
  

DataOps & Governance:

• Champion DataOps principles to improve collaboration, observability, incident reporting, and continuous delivery of data solutions.
• Uphold data governance policies to ensure data quality, discoverability, and compliance with regulatory and organizational standards.
• Drive the implementation of robust data models, master data management, and data integrity measures.
  
  
  

Software Engineering & Orchestration:

• Write, review, and guide the team's production-grade code, leveraging frameworks and best practices in orchestration, automation, workflow management, software design patterns, and industry best practices.
• Employ testing, debugging, and software design patterns to maintain a stable and extensible data platform.
• Pioneer efforts to integrate emerging technologies and frameworks that improve the data engineering ecosystem.
  
  
  

Cross-Functional Collaboration & Business Alignment:

• Work closely with data analysts, data scientists, and other stakeholders to understand and translate high-level requirements into practical, scalable data solutions to ensure data solutions meet critical business needs.
• Communicate architectural decisions, trade-offs, and opportunities to both technical and non-technical audiences.
• Shape the data strategy, influencing tools and approaches that deliver measurable business value.
  
  
  

Must Have’s

Experience:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering, with a focus on cloud-based solutions.
• Experience with cloud-based data warehouses (AWS, Google, Azure, etc), including cluster management, schema design, and optimizing query performance through various keys (distribution & sort) and compression.
• Experience in implementing, managing, and maintaining (ELT, ETL) data pipelines, integrating structured & unstructured data from various sources into a cloud data storage.
  
  
  

Technical Expertise:

• Strong understanding of data engineering fundamentals, including data lifecycle stages: generation, storage, ingestion, transformation, and serving.
• Knowledge of data architecture design, distributed systems, and modern data platforms (data warehouses, data lakes, data lakehouses).
• Experience with Data Architecture, DataOps practices, data governance, data quality, and security.
• Experience with embedded analytics and multitenancy
• Advance SQL skills
• Stored procedures (e.g. for batch processing)
• Window functions (e.g. OVER, ROW_NUMBER)
• Query optimization (e.g. CTE's, or EXPLAIN)
• Experience with Python
• Ability to design for scalability, performance, cost, and agility while maintaining simplicity and reliability.
• Effective communication skills for interacting with both technical and non-technical stakeholders.
• Understanding of Agile, DevOps, and continuous learning cultures.
  
  
  

Leadership Skills:

Proven ability to lead cross-functional teams and manage multiple projects.

Strong communication skills to convey technical concepts to non-technical stakeholders.

Problem Solving:

Analytical mindset with the ability to solve complex data challenges.

A proactive approach to identifying and mitigating risks in data projects.

Nice to Have:

Experience with PHP

Familiarity with some key data integration tools and ETL/ELT frameworks aside from AWS (ie- dbt, Prefect, Airtable, Tableau)

Familiarity with graph databases and other emerging technologies

Experience teaching or guiding team members to help understand data architecture.

AWS professional certification

Diversity and Inclusion:

We celebrate diversity of thought, culture, and background and are committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, or veteran status or any other protected status under applicable federal, state, or local law. We comply with all applicable laws governing nondiscrimination in every location where we operate and encourage individuals from all backgrounds to apply.

Compensation:

The typical starting salary range for this position is: $145,000-160,000.

The actual salary offer will consider multiple factors, including skills, experience, education, and location. Please note that the salary reflects the base amount only and does not include total compensation, such as discretionary bonuses and benefits.