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.