Data Warehouse Architect

Buxton • Fort Worth, TX

4d

About The Position

If you love data and having your hand in every step of a project, our Data Warehouse Architect role is for you. This role requires cross-functional work with our analysts, project managers, account managers and sales team members, as well as working directly with client’s key stakeholders.

Applicants for employment in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Buxton (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Requirements

• Bachelor’s degree (Master’s preferred) in Computer Science, Information Systems, Mathematics, Economics, Decision Science, or related field
• 2+ years of experience creating and troubleshooting T-SQL Procedures, Views, Functions, Triggers, etc.
• 2+ years of experience creating and troubleshooting ETL processes (SSIS, Alteryx, Informatica)
• 2+ years of experience creating and maintaining reports
• Knowledge of SQL Tuning, Monitoring, and Performance measurement
• Ability to read, understand, and alter existing T-SQL when necessary
• Solid understanding of Relational Database Theory
• Excellent verbal and written skills and the ability to thrive in a team environment
• Aptitude to solve complex problems autonomously and attention to detail

Nice To Haves

• Experience working with data related to consumer marketing
• Intermediate Excel knowledge (V-lookups, pivot tables, macros, etc)

Responsibilities

• Communicating with key team members regarding project scope, progress and findings for everything related to data
• Working in a team environment where brainstorming, innovation, and collaboration is critical while also maintaining personal responsibility for completion of assigned projects on time and of high quality
• Leveraging ETL tools to automate the flow of data of various data elements within the Buxton ecosystem
• Innovating new ways to standardize existing data processes and optimizing current workflows
• Creating custom client facing reports
• Creating custom data sets for use by analysts within your team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees