Data Architect - Platform

June 29

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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

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Description

• The successful candidate will join a diverse team to: - Build unique high-impact business solutions utilizing advanced technologies for use by world-class clients. - Design and maintain the underlying data architecture for the end-to-end solution offerings. - Design and maintain data structures for machine learning and other analytics. - Guide the data technology stack used to build Enterra’s solution offerings. - Combine machine learning, artificial intelligence (ontologies, inference engines and rules) and natural language processing under a holistic vision to scale and transform businesses — across multiple functions and processes. • Responsibilities Include: - Work with other Enterra personnel to develop and enhance commercial quality solution offerings in the consumer goods and retail industry within the Revenue Growth capability area. - Understand complex business requirements and take the lead to propose elegant and simplified enterprise information architecture solutions - Design and facilitate enterprise information/data architecture for structured and unstructured data for use across multiple Enterra solution offerings across multiple clients. Note: there is no standard form of the client data so every client has variations.

Requirements

• Master's degree in computer science, or a STEM (Science, Technology, Engineering or Math) field required. • Minimum of 5 years of hands-on experience in data architecture. • Experience in the consumer goods and retail industry – especially in dealing with sales data is not critical but strongly desired. • Minimum of 3 years of experience in an analytics/data science environment. • Minimum of 3 years of experience within a big data environment. • Demonstrable knowledge of data warehousing, business intelligence, and application data integration solutions. • Demonstrable experience in developing applications and services that run on a cloud infrastructure (Azure preferred, AWS or GCP). • Demonstrable experience with dimensional modeling techniques and creation of logical and physical data models (entity relationship modeling, Erwin diagrams, etc.). • Excellent problem-solving and communication skills in English. • 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 deliverables. • Strong interpersonal skills, including the ability to advocate for data management best practices and standards.

Benefits

• Must reside in the US – preferably in the Eastern Time Zone. Remote working permitted. Must be eligible to work in the US without sponsorship now or in the future. This is a full-time position with benefits. Contractors will not be considered for this position. • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service