Senior Enterprise Data Modeling Technical Lead
Request Technology, LLC - new york city, NY
Apply NowJob Description
***We are unable to sponsor for this permanent full-time role******Position is bonus eligible***Prestigious Enterprise Company is currently seeking an Enterprise Senior Data Modeling Technical Lead. Candidate will report to the Vice President, Corporate Technology Strategist and is responsible for leading the data modeling efforts related to the Enterprise Business Model (EBM). This role collaborates with the CTS Data Architecture Leads, Enterprise Business Model Leads, and Business-aligned Technology Office (BTO) team members across the company's business to drive the creation of the Enterprise Business Model.Responsibilities: Acts as subject matter expert for CTS Data Architecture team in the plan, design, and delivery of IT data solutions Drive the standardization of technical documentation supporting the Enterprise Business Model including notation, templates, and design of data structures Create appropriate technical documentation as part of work assignments, such as program code, flowcharts, and technical requirements Perform design implementation and support of Enterprise Data Management (EDM) and data structures within all layers of the Enterprise Data Warehouse (EDW) environment Qualifications: Bachelor's degree in computer science, information technology or related field 10+ years' experience in a logicalphysical data modeling, data architecture, data analysis, and data management role Experience with data modeling tools like ERwin, ERStudio or PowerDesigners Experience with different query languages such as PLSQL, T-SQL, and ANSI SQL Broad understanding of structured, semi-structured, and unstructured data and message formats (such as XML, JSON, etc.) Experience with database technologies such as Oracle, DB2, Sybase, PostgreSQL, Snowflake, SQL Server, or MySQL Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts
Created: 2024-09-22