POSITION SUMMARY 

Working as a member of Domo’s Client Services team, the Technical Consultant will be focused on the implementation of fault tolerant, highly scalable solutions.  The successful candidate will have a minimum of 3 years working hands on with data.  This individual will join an enthusiastic, fast-paced and dynamic team at Domo. A successful candidate will have demonstrated sustained exceptional performance, innovation, creativity, insight, good judgment.  

KEY RESPONSIBILITIES 

• Works with customers, end-users, technical analyst, and application designers to define the data requirements and structure for Business Intelligence (BI) applications;  

• Designs models for the data warehouse or data mart (data structure, storage, and integration  

• Works with our team to aggregate large data sets for use within Domo solutions;  

• Develops, designs, and optimizes complex SQL queries;  

• Leads the database analysis, design, and build effort;  

• Designs maps of source system data to data warehouse models;  

• Develop strategies for data acquisitions and integration of the new data into Domo's Data Engine

​JOB REQUIREMENTS 

• 3+ years' experience supporting business intelligence systems in a BI or ETL Developer role;  

• Expert SQL skills required  

• Expertise with Windows and Linux environments;  

• Experience with building AI Solutions & Agents; 

• Expertise with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (i.e. MySQL, Oracle, MSSQL, Vertica, mongodb  

• Understanding of data modeling skills (i.e. conceptual, logical and physical model design - with both traditional 3rd normal form as well as dimensional modeling, such as star and snowflake  

• Experience dealing with large data sets;  

• Advanced Excel skills, including pivot tables and VBA (Visual Basic for Applications  

• Goal oriented with strong attention to detail;  

• Proven experience in effectively partnering with business teams to deliver their goals and outcomes;  

• Bachelor's Degree in Information Systems, Statistics, Computer Science or related field preferred OR equivalent professional experience.