Description:
Responsibilities include, but are not limited to:
The Engineer Architect role provides technical expertise and guidance to architect, engineer and design enterprise solutions. The position performs a critical role in understanding strategic program vision, developing effective solutions, and consistently providing high-level customer service. In addition to program wide architecture and engineering responsibilities, the candidate will provide Product Owner (PO) responsibilities for an evolving Data Analytics implementation. This role will be hands on with the candidate able to dig into current solution implementations assessing COTs and custom system integrations for compliance, operational stability with significant focus on security profiles.
Detailed responsibilities include:
- Architect and design enterprise-class systems across multiple environments
- Identify, propose and present current and emerging technology concepts.
- Conduct design workshops with multiple stakeholders
- Develop strategic visionary plans for architecture, engineering, and integration.
- Identify risks and develop impact analysis to technology, business objectives and schedule
- Design, implement and maintain service catalog and service level procedures
- Support development and delivery of initiative and contractual proposals
- Assisting in rectifying issues and improving service
- Evaluate, document and prioritize work stream in support of the Data Analytics environment.
- Participate in SAFe PI Planning as Product Owner representing the Data Analytics environment
- Propose visionary guidance supporting the growth of Data Analytics across the program
Basic Qualifications:
- 10-15 years of enterprise level architecture and engineering experience
- 7-10 years of systems administration, engineering, and systems automation experience
- Technical leadership in Enterprise Architecture (EA), Service Oriented Architecture (SOA), and IT Service Delivery
- Experience in conducting assessments at an Enterprise level, reviewing technical documentation, conducting interviews and workshops, identifying gaps and developing tailored solutions.
- Experience developing, configuring, and delivering COTS solutions in support of enterprise IT infrastructure design (e.g. network, storage, virtualization, database, 3rd party tools)
- Experience working with Data Analytics methodologies and technologies (Predictive Analytics, Distributed Storage, Data Virtualization, Data Integration, Data Preprocessing, Data Quality)
- Experience with Data Analytics Tooling (IBM Integrated Analytics System, DB2 Warehouse, Podman Containers, Zeppelin Notebook, R, Python, OBIEE)
- Experience in assessing Security findings identified by tools like Tenable, Burp, AppScan
- Bachelor’s degree or equivalent in Computer Science