> Markdown version of [/jobs/ext/3841572-sr-data-modeler](https://www.wearedevelopers.com/jobs/ext/3841572-sr-data-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Modeler - **Company:** Stratacent Inc - **Location:** McLean, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, IBM Rational ClearCase, Databases, Data Architecture, Data Governance, Data Structures, Data Stores, IBM DB2, Database Queries, JSON, PostgreSQL, Meta-Data Management, Microsoft SQL Server, MongoDB, NoSQL, Oracle (Applications), SQL Databases, Extensible Markup Language (XML), Universal Database (UDB), Snowflake, Sybase, Git, Information Technology, Collibra, Bitbucket, Data Management, Physical Data Models, Visual Basic Language - **Published:** October 20, 2026 - **Apply:** https://www.dice.com/job-detail/9f3a4668-c9b8-4199-9ca7-e3140560bc37 ## About the Role 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 ## Description Stratacent is looking for a skilled Data Modeler with strong experience in designing and implementing conceptual, logical, and physical data models using ERwin and ER/Studio., 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