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Stratacent Linkedin · Posted 8d ago

Data Modeler

McLean

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Indexed description

Stratacent is seeking a 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.

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