Solutions/Domain Architect – Revenue Growth Intelligence

August 20, 2023

Enterra Solutions, LLC

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Enterra Solutions®, LLC is the first of its kind Autonomous Decision Science™ company enabled by peerless cognitive computing technology and advanced mathematics$1. .$1

Big Data Analytic/Insights & Supply Chain • Artificial Intelligence and Rules-Based Ontology Applications • Cognitive Computing and Machine Learning • Autonomous Decision Sciences • Advanced Analytics

11 - 50

Description

• Enhance, manage, and implement the technical design for Enterra’s cloud-based solution offerings in the Revenue Growth domain. • Document and manage the functional, logical, and physical architecture for the target solution offerings. • Evaluate, frame, and introduce the technical standards as they apply to the target solution offering. • Ensure and implement low-latency, high-availability, and performant applications within cloud environments. • Balance the portability across different cloud providers with efficiency gains through using cloud-native components. • Maximize opportunity for configuration through parameters (or other approaches) for rapid deployment across multiple clients. • Engineer for deployment into both client-managed and Enterra-managed cloud environments while protecting intellectual property. • Identify opportunities for improvements in existing solution offerings. • Contribute to creating, documenting, and application of test plans and testing requirements. • Build and maintain relationships with technical team, product owners, and other key stakeholders.

Requirements

• Minimum of a bachelor's degree. Degree in a STEM field strongly preferred. • Minimum of 6 years' experience in a Solutions architect or technology design role • Minimum of 3 years' experience in CPG (Consumer Products & Goods) or retail space. • Minimum of 3 years' experience in developing solutions in a cloud environment. • Prior experience and knowledge of revenue growth management in CPG a plus • Prior experience with Azure. • Experience with multiple software architecture patterns especially microservices. • Experience with AI/ML based solutions with large data sets. • Working knowledge of statistics and experience using statistical or BI packages for analyzing large datasets (Excel, R, Python, Power BI, Tableau etc.). • Strong verbal and written communication skills - ability to clearly communicate with business and technical personnel both internally and externally. This includes documentation, presentations, and individual analysis sessions. • Ability to thrive in a fast-paced, remote environment. • Comfortable with ambiguity with the ability to build structure and take a proactive approach to drive results. • Attention to detail – quality and accuracy in work is essential.

Benefits

• Full-time position with benefits