Data Modeler

Title: Sr. Data Modeler
Location: Dallas, TX / Mclean, VA  (5 days onsite)

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