Senior Technical Lead - Enterprise Data Modeling / Corporate Technology Strategy

Overview

Hybrid
$180,000 - $205,000
Full Time

Skills

Data Modeling
ERwin
JSON
data warehousing
Data Architecture

Job Details

NO SPONSORSHIP

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

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