DUE TO THE COMPLEXITY OF THE JOB WE CURRENTLY ACCEPTING USC
Job Description: Sr. Data Modeler
Location: Dallas, TX / Mclean, VA(On-Site)
Duration : Long Term
The Sr. Data Modeler will work closely with project teams to understand business requirements and provide data modeling subject matter expertise. Strong quantitative and analytic skills are required.
The Sr. Data Modeler must have experience in:
Developing logical and physical data models, in Traditional Data Stores (e.g. DB2, Oracle) and in NoSQL (e.g. Snowflake, MongoDB)
Data standards, data management standards and data modeling best practices
Managing DDL and database artifacts in GIT and/or Bitbucket
Developing, testing, and implementing scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data models
Promoting data models into production metadata environments
Supporting DDL implementations
Supporting multiple efforts concurrently, in Waterfall, Agile or Modern Delivery.
Visual Basic macro development and SQL
SQL Querying of databases
Physical database structure design in DB2, UDB, Oracle, Sybase, Snowflake, Postgres, MongoDB and/or SQL Server using ER/Studio or ERWin
ER/Studio Data Architect or ERWin, minimum 4 years; Collibra Metadata Management Tool
Mortgage/finance industry data modeling; Use of the MISMO Mortgage Data Standard
Supporting XML and JSON Schemas design and modeling
Educational and Work Requirements
Bachelor s degree from an accredited university with coursework in Business, Information Technology, or Engineering.
8-10 years of data modeling and metadata management experience.
Experience with relational, dimensional and NoSQL data modeling
Experience with data management standards and data model practices
Experience with query capabilities such as Visual Basic macro development and SQL
Experience with physical data structure design in DB2, UDB, Oracle, Sybase, Snowflake, Postgres, MongoDB and/or SQL Server using ER/Studio DA or Erwin
Experience using ClearCase, GIT, Remedy, ER/Studio DA (Or ERWin)
Mortgage/finance industry data modeling experience
Additional Qualifications
Proven ability to quickly earn the trust of key stakeholders
Thrives in an environment with changing priorities
Sound business and technical acumen
Focused and versatile team player that is comfortable under pressure
Excellent problem-solving and critical-thinking skills
Able to navigate through a large corporate environment and ensure appropriate processes are met.
EDUCATION
Bachelor s Degree in Computer Science, Information Systems, Engineering or related field or equivalent work experience.
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