Your Role And Responsibilities
Senior Implementation Consultant, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US:
- Prepare new costumers to utilize the StreamSets Platform.
- Implement new use cases in existing customers.
- Provide implementation ‘blue print’ for customers.
- Drive asset development across the team and/or organization as it relates to product adoptions and customer implementation.
- Drive and manage all technical aspects of the post-sales process, work in conjunction with the product, support and pre-sales team as the key technical advisor and product advocate for the products.
- Promote and advocate StreamSets products across the account through meetings around new products, features and best practices.
- Lead other PS team members in implementations.
- Provide guidance on implementation best practices and architecture assets.
- Engage other teams within StreamSets to ensure customer satisfaction and platform adoption in customers.
- Utilize: Big Data ecosystem, Big Data Processing, AWS Tools, Docker, Kubernetes, Programming Languages, Messaging Services, Data Integration, Cloud Data Integration, Wearhouse, DevOps.
Required: Master’s degree or equivalent in Computer Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as Consultant or related. One (1) year of experience must include utilizing Big Data ecosystem, Big Data Processing, AWS Tools, Docker, Kubernetes, Programming Languages, Messaging Services, Data Integration, Cloud Data Integration, Wearhouse, DevOps. $261248 per year. Full time. SN148.
Required Technical And Professional Expertise
Master’s degree or equivalent in Computer Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as Consultant or related. One (1) year of experience must include utilizing Big Data ecosystem, Big Data Processing, AWS Tools, Docker, Kubernetes, Programming Languages, Messaging Services, Data Integration, Cloud Data Integration, Wearhouse, DevOps.
