Job Title: Solution Architect: Revenue Management System
Location: Hybrid: In Office in Orlando FL 3 days per week.
Job Type: Contract
Duration: May 1 2025 October 31 2025
Job Description:
We are seeking a highly skilled Solution Architect (Revenue Management Systems) to support our project team in the development enhancement and production alization of a Dynamic Pricing Solution.
We are looking for an experienced Solutions Architect with 58 years of expertise in designing and delivering scalable secure and costeffective technology solutions. The ideal candidate will work closely with business and technical teams to translate requirements into technical architectures leveraging cloud technologies and enterprise systems. This role will also play a handson development role to support of the solution.
This role will focus on turning an existing functional prototype to a production quality solution. This involves designing developing and optimizing a scalable data architecture implementing best practices in SDLC and CI/CD and facilitating the migration of the solution to AWS and Databricks.
The ideal candidate will possess extensive experience in solution architecture data engineering data modeling cloud platforms and big data technologies with a strong background in software development and automation. Knowledge and experience with Revenue Management and Pricing solutions is required.
This will be a handson architecture and engineering positioning.
Key Responsibilities:
System Development & Architecture
- Provide broad support for the creation of a scalable productiongrade system and data model.
- Design and implement technical solutions that meet business needs.
- Create and communicate architecture documentation including diagrams and specifications.
- Ensure solutions align with security regulatory and company guidelines.
- Gather and document requirements for the Dynamic Pricing Solution in collaboration with the Project team.
- Design an RMS solution architecture for the Dynamic Pricing Solution. Identify and support system integrations required.
- Develop and refine the solution to ensure it aligns with performance and production standards.
Development
- Support the migration of the existing solution to AWS and Databricks.
- Refactor code to improve modularity performance and scalability.
- Conduct regression testing to ensure system stability and accuracy.
- Ensure security and reliability of the data in the warehouse.
Automation & Best Practices
- Automate data feeds and pipelines to improve efficiency and reliability.
- Implement SDLC and CI/CD best practices in alignment with Project guidelines.
- Ensure compliance with data governance security and operational standards.
Required Qualifications:
Education & Experience:
- Bachelors or Masters degree in Computer Science Data Engineering or a related field.
- 7 years of experience in solution architecture data engineering big data technologies and cloudbased platforms.
- Experience with Dynamic Pricing Solutions or Revenue Management Systems (RMS).
- Knowledge of machine learning pipelines and MLOps.
Technical Skills:
- Strong programming skills in SQL Python and PySpark
- Deep expertise in cloud technologies: AWS Databricks Snowflake.
- Experience with Github
- Handson experience with ETL pipelines data modeling and automation.
- Proficiency in CI/CD DevOps and SDLC best practices.
Soft Skills:
- Strong communication and collaboration abilities to work crossfunctionally with client IT and business teams. The architect will be responsible for discussing solution and gaining alignment with multiple teams.
- Excellent problemsolving and analytical skills.
- Ability to manage multiple tasks and work in a fastpaced environment.