Enterra Solutions, LLC is hiring a
Data Architect

Summary

Join a diverse team to build unique high-impact business solutions utilizing advanced technologies for use by world-class clients. The successful candidate will design and maintain the underlying data architecture for the end-to-end solution offerings, guide the data technology stack used to build Enterra's solution offerings, and combine machine learning, artificial intelligence, and natural language processing under a holistic vision to scale and transform businesses.

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
• Demonstratable knowledge of data warehousing, business intelligence, and application data integration solutions
• Demonstratable experience in developing applications and services that run on a cloud infrastructure (Azure preferred, AWS or GCP)
• Demonstratable 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

Responsibilities

• 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
• 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

Preferred Qualifications

• Knowledge of one or more of the following technologies: Data Science, Machine Learning, Natural Language Processing, Business Intelligence, and Data Visualization
• Knowledge of statistics and experience using statistical or BI packages for analyzing large datasets (Excel, R, Python, Power BI, Tableau etc.)
• Experience with at least one of the following – Databricks, Spark, Hadoop or Kafka