Data Architect - Austin

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Location: Austin, USA
Responsibilities Include: Working with Zilliant customers and Pricing Scientists to build a data pipeline for use in Zilliant platform and analytics solutions Requirement gathering for both a traditional data model or UI utilizing SFDC platform. Managing the interdependencies and sequencing of implementing multiple products with conflicting priorities Interfacing with the customer's IT group to acquire and integrate the data in both directions Partnering with the project team on code design for the project and to ensure that best practices are followed Actively engaging in each assigned project to assist with the identification and implementation of business rules Proactively ensuring the quality of the data being entered into the system and use Zilliant tools to build tests to ensure the quality throughout the process Identifying opportunities for improvement and helping to drive those requirements through the system Documenting the project data model, assumptions and the business rules Working with Data Engineers to complete tasks where needed Travelling to customer locations (10-15% travel) Required Experience: Bachelor's degree. Prefer Computer Science or related, or comparable experience 6 to 15 years of relevant consulting or services experience, preferably with SAAS Implementation projects
(CPQ, CRM, PROS, Vendavo, Salesforce CPQ, Apttus) AWS stack in a multi-tenant environment including RedShift, Aurora, Spark, S3 etc. configuration and some development using APEX, Visualforce, Lightning components etc. Strong SQL Server or similar RDBMS development skills with Big Data Technologies exposure System Integration and Data exchange (APIs, Webservices) both pre-designed or custom. Excellent understanding of designing for performance and performance tuning in a Microsoft environment. SQL 2017 or recent version technology stack preferred Excellent troubleshooting skills ability to find data quality and performance issues quickly and effectively Designing high performance Analytics with Tableau or similar visualization tool Excellent understanding of data modeling techniques and tools Ability and desire to learn new technologies in a fast-paced environment Strong communication skills Preferred Experience: Experience with pricing & quoting applications a plus Experience with Big Data storage and analytics technologies is desired Experience of managing and working with offshore resources
Employment type: full time

Work Day: Full Time
Salary: Negotiable

Minimal experience: No experience

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