Data Architect

Red Ventures

(Charlotte, North Carolina)
Full Time
Job Posting Details
About Red Ventures
We’re a team of talented people who think it’s fun to challenge what’s possible and do bold things- fast. Founded in 2000 and headquartered just south of Charlotte, N.C., Red Ventures works with some of the largest brands in the country and we’re now the largest technology-enabled platform in the US for launching and growing sales and marketing businesses.
Summary
The Data Architect at Red Ventures has the end-to-end vision of conceptual, physical, and logical storage of data and how analysts, applications, and data scientists consume it. We’ll look to you to recognize and identify patterns in data relationships from disparate systems and create data management solutions. You will design and build scalable infrastructure platforms to collect and process large amounts of structured and unstructured data that will be consumed in near real-time.
Responsibilities
On a day-to-day basis, you will work on a team responsible for all aspects of Red Ventures’ data including timeliness, accuracy, consumption, and security. You will work on automating data pipelines, creating data models, and monitoring and ensuring performance. You will communicate with business analysts, data scientists, and business leaders to understand and meet their data needs. You will be tasked with identifying and executing on best practices. You will work on a team with a focus on continuous learning and will have an opportunity to provide mentor and guidance. You will work on designing and implementing Red Ventures’ next generation data solution.
Ideal Candidate
* Experience in application development, ETL development, report development and/or other data warehouse projects to bring a well-rounded perspective of the big picture * Thorough understanding of dimensional modeling and data warehouse * Experience with Query, Database, Cube tuning * Knowledge of Big Data technologies * A sense of humor, thirst for knowledge, and a commitment to continuous improvement

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