November 5
β’ ACN is seeking an experienced Enterprise Architect to serve as a tech lead for our enterprise platform re-architecture initiative. β’ This role requires deep expertise in AWS cloud-native solutions, particularly at the application layer, and experience in workload solutioning with serverless technologies. β’ The ideal candidate must also demonstrate strong knowledge in business rules design and implementation, with a focus on evaluating when to onboard a complex technology stack such as BRMS versus using cloud-native solutions or database configuration tables to achieve business agility. β’ The candidate will report directly to the CIO and initially join on a 6-12 month contract, with the possibility for extension based on project requirements.
β’ Extensive practical experience in AWS cloud-native solutions, with expertise in serverless architectures (Lambda, API Gateway, Step Functions, etc.). β’ Strong knowledge of business rules design and implementation, with the ability to assess when to onboard a complex BRMS like Drools or Airflow versus cloud-native or configuration-based alternatives. β’ Proven experience in architecting scalable cloud-based platforms and leading large-scale re-platforming or migration projects. β’ Expertise in RDBMS, particularly Oracle and PostgreSQL, with experience in database migrations and design. β’ Ability to lead development teams through critical re-platforming initiatives while ensuring adherence to best practices and business needs. β’ Strong communication and leadership skills, with experience presenting architectural strategies and solutions to senior leadership and cross-functional teams. β’ Proven ability to balance introducing new technologies with maintaining simplicity, cost efficiency, and ease of management by leveraging configuration tables or other cloud-native features. β’ Proficient in creating and managing architectural documentation and technical roadmaps.
Apply NowOctober 8
Kaeppel Consulting seeks Enterprise Architect for banking application rationalization and data management.