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Senior Technical Lead, Corporate Technology Strategy, Data Modeler - Enterprise Business Model
The emphasis is on enterprise data modeling, logical, physical modeling, understanding of structure, semi-structured and unstructured data message formats, xml, json, as much broad knowledge outside of that as possible
3 days on site in NY on Park Avenue
Need to come from a financial institute.
Any mortgage history experience would be a huge plus
You will be leading the data modeling efforts related to enterprise business model data architecture, data management, data structures within enterprise data warehouse. 10 years logical physical data modeling data analysis. Erwin er studio power designers query s PL/SQ/T-SQL/ANSI SQL oracle DB2 Sybase PostgreSQL Snowflake SQL server MySQL data warehousing business intelligence data mesh data fabric data lake data marts
The Senior Technical Lead, Corporate Technology Strategy (CTS), Data Modeler, Enterprise Business Model reports 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.
Drive the standardization of technical documentation supporting the Enterprise Business Model including notation, templates, and design of data structures
Qualifications:
Bachelor s degree
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