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Senior Enterprise Data Modeling Technical Lead

2 months ago

New York, United States Request Technology, LLC Full time

***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 logical/physical data modeling, data architecture, data analysis, and data management role

Experience with data modeling tools like ERwin, ER/Studio or PowerDesigners

Experience with different query languages such as PL/SQL, 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