Data Architect

Enterra Solutions is introducing the world’s top brands and market leaders to true enterprise intelligence. Powered by our groundbreaking Enterra Autonomous Decision Science™ Platform, we’re delivering enterprise-wide optimization and decision-making to help businesses best achieve their most complex goals. We’re providing real human insights to facilitate smarter, faster market moves. And we’re turning unknowns into opportunities for unprecedented growth and agility. All with next-level speed, accuracy, autonomy, and continuous learning. We’re shaping the future - join a dynamic, collaborative team where your contributions drive real impact. 

Overview  

We are looking for a talented and collaborative Data Architect to build unique, high-impact business solutions utilizing advanced technologies for use by world class clients. This role will be responsible for designing and maintaining the underlying data architecture for the end-to-end solution offerings, as well as the data structures for machine learning and other analytics. They will also guide the data technology stack used to build Enterra’s solution offerings, and will 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. 

As a Data Architect, you will: 

• Work with other Enterra personnel and data architects 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.
• Design and facilitate the data architecture to assemble large, complex data sets to meet analytical requirements – analytics tables, feature-engineering etc.
• Specify logical data integration (ETL) strategies for data flows between disparate source/target systems (i.e., client systems) and the enterprise information repositories.
• Design and facilitate optimal data pipeline architecture, incorporating data wrangling and Extract-Transform-Load (ETL) flows. 
• Design and implement data solutions using Master Data Management principles and tools
• Design and implement data governance and quality initiatives ensuring consistent translation and usage of data
• Partner with leaders and team members across the business to design and institute practices that will drive the appropriate levels of rigor and quality in enterprise information architecture
• Design, develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk
• Design in-depth data analysis, data modeling and data design approaches on complicated datasets with potentially complex data integration scenario
• Define processes for the effective, integrated introduction of new data
• Establish and contribute to standards for ensuring consistent usage of our information platforms.
• Ensure speed of data delivery without compromising data quality measures
• Work with a team of Data Engineers to implement the designs. 

• Minimum of a Bachelor’s degree in computer science, or a STEM (Science, Technology, Engineering or Math) field 
• Minimum of 5 years of hands-on experience in data architecture.
• Experience in the consumer goods and retail industry – especially dealing with sales data is strongly desired.
• Minimum of 3 years of experience in an analytics/data science 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 (Snowflake, Azure or equivalent).
• 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, including the ability to advocate for data management best practices and standards.
• 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. 

We hire great people and take care of them. Here’s a snapshot of the benefits we offer: 

• Competitive compensation
• Fully paid “employee only” health insurance (medical, dental, and vision) or employer contribution toward various health insurance plans
• 15 days PTO + 7 holidays + 3 floating holidays
• 401k offering 

Enterra Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.