Data Platform Architect

Join TravelNet Solutions as a Data Platform Architect!

At TravelNet Solutions (TNS), we combine deep hospitality expertise with forward-thinking technology and a customer-obsessed mindset… to help property managers win! TNS is proud to be named an Inc.5000 Fastest Growing Company in America.

This role is perfect for someone who is:

• A self-starter with tremendous initiative and a strong work ethic
• An excellent communicator and collaborator across functional teams
• Eager to make a high impact at a product-driven company
• Adaptable, quick to embrace change, and a fast learner
• Skilled in creative and critical thinking
• Detail-oriented, even in a fast-paced environment
• Passionate about technology and innovation

About TravelNet Solutions
For over 21 years, TravelNet Solutions has provided integrated software and marketing solutions for the hospitality industry, anchored by our flagship Track Property Management System and other products under the Track banner. Our single-vendor ecosystem equips growing vacation rental companies with all the enterprise-class tools they need to scale. With ongoing investments in platform development, 70+ integration partners, and a growing list of native features, Track empowers hospitality professionals to achieve digital transformation and operational excellence.

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
• Up to $900 in Wellness Rewards annually
• 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
• Work with an amazing team!

The Data Platform Architect is responsible for defining, implementing, and evolving the end-to-end data architecture that powers our platform analytics, reporting, and data automation ecosystem.
This role will design a scalable, automated multi-tenant data warehouse and pipeline architecture that integrates hundreds of tenant schemas from our SaaS platform into a centralized, governed, and cost-optimized analytics environment (AWS-based: Redshift, S3, Glue, Lake Formation, QuickSight).
The ideal candidate combines deep data engineering expertise with architectural systems thinking—balancing automation, performance, and cost while ensuring accuracy, compliance, and scalability for every customer.

Duties and Responsibilities:

Architecture & Design

• Architect a multi-tenant data platform capable of ingesting 500+ tenant schemas with automated onboarding/offboarding workflows
• Design an end-to-end architecture that includes data lakes, warehouses, transformation pipelines, and semantic layers
• Define data zone strategy (Raw Staging Serving), partitioning, and schema evolution patterns
• Establish standards for data contracts, metadata cataloging, and lineage tracking across all tenants
• Drive selection and configuration of core technologies (e.g., Redshift, Glue, S3, Lake Formation, dbt, Lambda, Airflow)
• Collaborate with engineering and DevOps to ensure infrastructure as code (IaC) is applied to all data assets

Pipeline & Automation

• Design metadata-driven ingestion and transformation pipelines supporting incremental updates, schema drift, and tenant isolation.
• Ensure pipelines are idempotent, self-healing, and fully integrated into CI/CD processes.
• Partner with the Data Pipeline Engineers to deliver automated data onboarding, testing, and quality validation.

Performance & Cost Optimization

• Define workload management, clustering, and distribution strategies in Redshift or equivalent MPP systems.
• Implement data lifecycle management policies to optimize storage and compute costs.
• Continuously evaluate query performance, caching, and concurrency scaling options.

Governance & Security

• Implement data governance frameworks to ensure privacy, PII compliance, and secure tenant isolation
• Partner with InfoSec to align encryption (KMS multi-region keys), object lock, and access control policies with SOC/PCI/GDPR standards.
• Establish monitoring, alerting, and anomaly detection systems for data quality and operational stability.

Collaboration & Leadership

• Partner closely with Product, Engineering, and Analytics teams to ensure architecture aligns with business and product goals.
• Mentor engineers on modern data platform practices (dbt, ELT, IaC, observability).
• Act as a technical authority and evangelist for data platform best practices within the organization.

Required Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field; or equivalent professional experience.
• 8+ years in data engineering or data architecture, including at least 3 years architecting cloud-native data platforms.
• Proven success building and maintaining large-scale data pipelines using AWS Glue, Lambda, Step Functions, or Airflow.
• Expertise in Redshift, Snowflake, or equivalent MPP databases, including workload management and query optimization.
• Proficiency with S3-based data lakes, Glue Data Catalog, and Lake Formation.
• Deep understanding of data modeling (Kimball/ELT) and multi-tenant system design.
• Experience defining and enforcing data governance frameworks (PII, access control, lineage).
• Proficiency with infrastructure-as-code (Terraform/CloudFormation) and CI/CD for data assets.
• Strong SQL and Python skills; dbt experience preferred.
• Familiarity with embedded BI/analytics tools (QuickSight, GoodData) and semantic layer concepts

Preferred Experience:

• Experience with schema-per-tenant architectures and automated tenant provisioning.
• Familiarity with Auth0 / SSO integration for analytics tools (e.g., QuickSight embedding).
• Experience implementing observability platforms (e.g., Datadog, CloudWatch, Monte Carlo, Soda Core)
• Exposure to data mesh or domain-oriented design principles.
• Prior experience in SaaS product ecosystems or hospitality / property-management data preferred

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: $130-185k.
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.