Requirements:

Bachelor’s degree (U.S. or equivalent) in a quantitative discipline (ideally computer science or engineering)
7-10+ years of software development & architecting data distribution platforms / middleware experience

Must Have Skills and/or Licenses Required:

Superior development skills using one or more high-level languages, such as Python, Java, C/C++. All system development in the team is using Java as the primary language
Strong knowledge of cloud architectures, implementation patterns, and deployment patterns
Experience with container-based and Serverless deployment patterns, as well as cloud databases
Advanced knowledge in implementing complex, distributed systems with a variety of integration patterns like REST, streaming (Kafka), and ETL
Strong knowledge of database systems, SQL, and NoSQL systems
Knowledge of messaging technologies on-premises and on cloud e.g. Kafka, Kinesis
Hands-on experience building out and maintaining a data distribution platform either in-house or as part of a commercial offering, integrating data warehousing and big data environments
Strong communication skills with the ability to mentor and educate others on producing quality code

You will ensure NFRs and functional requirements are accounted for in your products' design and test phases, that your service level indicators are effectively measuring customer experience
Creates high-quality technical designs, roadmaps, and technical program charters
Provides mentoring to fellow engineers and act as a key resource for technologists seeking guidance
Ensure that the architecture and implementation will meet business goals and ensure as a key technical leader that implementations are faithful to design goals.