Solution Architect - Revenue Management Systems (Dynamic Pricing Solution)

We are seeking a highly experienced and results-driven Solution Architect with deep expertise in Revenue Management Systems (RMS) to join our project team in driving the development of a cutting-edge Dynamic Pricing Solution.

This role offers a unique opportunity to transform a functional prototype into a scalable, production-grade solution by designing robust technical architectures, enabling seamless system integration, and implementing industry best practices in data engineering, cloud infrastructure, and automation.

Key Responsibilities

Solution Design & System Architecture

Lead the design and development of a scalable, production-grade solution architecture to support the Dynamic Pricing Solution.
Translate business requirements into high-quality technical architectures, ensuring alignment with organizational goals and technical best practices.
Create and maintain comprehensive architecture documentation, including solution diagrams, technical specifications, and integration plans.
Collaborate with business and IT stakeholders to define and document functional and non-functional requirements.
Design and implement system integrations to connect the Dynamic Pricing Solution with other enterprise systems and data platforms.
Ensure all architectural designs adhere to security, compliance, and data governance standards.

Required Qualifications

Education & Experience

7+ years of experience in solution architecture, data engineering, big data technologies, and cloud-based platforms.
Proven experience designing and implementing Revenue Management Systems (RMS), Dynamic Pricing Solutions, or similar enterprise solutions.
Strong background in cloud infrastructure (AWS, Databricks), data pipelines, and enterprise system integration.
Solid understanding of machine learning pipelines, MLOps, and advanced data processing frameworks.

Technical Skills

Programming Languages: Proficiency in SQL, Python, and PySpark.
Cloud Platforms: Extensive experience with AWS, Databricks, and Snowflake.
Data Engineering: Expertise in ETL pipelines, data modeling, data architecture, and automation.
Software Development Practices: Strong knowledge of CI/CD pipelines, SDLC, and DevOps best practices.

If you are a hands-on Solution Architect who is passionate about building high-quality, enterprise-level data solutions and are excited about collaborating with cross-functional teams to drive business outcomes, we encourage you to apply and become an integral part of our dynamic and forward-thinking project team.

This is a contract-based position with 3x/week on site in Orlando, FL.