Data Architect

Develop, support, and optimize the data warehouse to facilitate reporting and analysis of enterprise data. Responsible for analyzing source system data, building processes to provide data cleansing and proper categorization. Translates business processes into logical and physical models in support of business requirements. Contributes to the data warehouse development lifecycle (requirements gathering, ETL, database design & development, testing & validation). Designs and builds data structures to support analysis and reporting. Designs and builds processes to ensure integrity and quality of data. Troubleshoots and optimizes existing queries and databases. Recommends and implements process improvements. Maintains data dictionary & documentation. Acts as an internal consultant providing technical guidance on business systems projects. Determines and resolves problems with other systems analysts, programmers, and systems users. Maintains, develops, modifies, and documents processes according to general specifications and guidelines. Provides guidance to lower-level team members. Consults with managerial and systems analysis personnel to clarify intent, identify problems, suggest changes, and determine extent of programming and coding required. Revises or directs revision of existing programs to increase operating efficiency or adapt to new requirements. Analyzes, defines, and documents system requirements for data, workflow, logical processes, hardware and operating system environment, interfaces with other systems, internal and external checks, and controls and outputs. Researches and evaluates software and hardware to enhance and improve existing processes. Requirements Bachelor’s degree; BS in Computer Science, Management Information Systems or similar degree preferred At least six years related experience and/or training and experience with a developed expertise in database administration, data architecture or data modeling Knowledge of Microsoft Office products including Microsoft Word, Excel, Power Pivot, PowerPoint, Access Outlook email program General database administration practices Knowledge of application of data warehousing and data modeling concepts Advanced SQL & database development ETL design patterns & best practices (MS Integration Services, Informatica, etc.) SQL optimization methods and techniques Demonstrated leadership capabilities on sizable projects. Core Competencies Expertise in data warehouse development, including ETL design, database administration, and data modeling, with a strong focus on data integrity and optimization. Proven ability to translate business requirements into technical solutions while providing guidance and leadership to team members. Highest-signal resume keywords Data Warehouse Development ETL Design & Development Advanced SQL & Database Development Data Modeling Concepts Database Administration Practices ATS Optimization Keywords Hard Skills SQL Optimization Methods Data Cleansing Processes Logical & Physical Data Models Data Structures Design Testing & Validation Process Improvement Implementation Data Dictionary Maintenance System Requirements Analysis Troubleshooting Databases Documentation Practices Soft Skills Leadership Capabilities Technical Guidance Problem-Solving Collaboration with Team Members Consultation with Management Industry Keywords Data Warehouse Data Architecture Data Modeling Database Administration Enterprise Data Analysis Tools & Technologies Microsoft Office Suite MS Integration Services Informatica Power Pivot Access #J-18808-Ljbffr