A Note on the VOR Master Service Agreement:
The VOR Master Service Agreement which expires on April 5, 2026, leaves some Contracts with funding unassigned for fiscal 2026-27. If the current statement of work expires on March 31, 2026, the remaining funds can be used to exercise an option to extend the SOW beyond March 31, 2026, based on business case approvals. Such extensions will be allowable, only if the Master Service Agreement is extended beyond April 5, 2026, and be upon the same terms, conditions, and covenants contained in the SOW.
The start date is subject to change based on security clearances and contract signing timelines.
Experience and Skillset Requirements
Mandatory Requirements
- 7+ years of experience in developing data conversion and migration
- Extensive experience in data migration in terms of digital transformation, ETL experience in migrating data from legacy applications to modernized solutions.
- Experience in migrating document attachments from legacy solution to a new modernized solution.
- Experience working in cloud DB technologies (such as Azure SQL).
- Experience working in ETL tools such as Azure Data Factory, Informatica, etc.
- Knowledge and experience in development of business case, data migration strategy and plan.
- Knowledge and understanding of Information Management principles, concepts, policies and practices.
- Excellent understanding of master data and transactional data concepts and interdependencies.
Desired Skills and Experience
- Full life-cycle data conversion experience with enterprise systems, including deployment experience.
- Experience working with all steps of data migration activities such as data profiling, data mapping, developing data migration solutions, data validation and audit.
- Proficiency in query languages such as SQL, PL-SQL.
- Familiarity with and construction of complex query statements.
- Knowledge of various database structures and RDMS like Oracle DB and MS SQL Server, Azure SQL Database, and write complex SQL queries
- Knowledge and understanding of mainframe data formats, data types, segments and non-relational data structures
- Experience ensuring the data migration solution is scalable.
- Data analysis, investigative and logic skills with high attention to detail
- Experience with migrating file attachments from legacy applications to new solution.
- Experience with data conversion scripts and various ETL tools such as Informatica, Azure Data Factory, etc.
- Experience with overseeing /completing all tasks involved in the conversion process including data extraction, cleansing, transformation and loading
- Experience liaising with teams to understand to-be migration requirements.
- Establish a strong working relationship with all groups, interact effectively with all levels of client personnel, and provide conversion support.
- Experience completing mapping, interfaces, conversion work, documentation and verifying completeness and accuracy of converted data.
- Experience delivering the required system changes and/or working with the development team or a dedicated conversion team to specify loads programs.
- Experience providing support through the cutover process
- A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience
- Communication, facilitation, negotiation, consensus building, and problem-solving skills
Resumes Evaluation/Criteria:
Criteria 1: Data Knowledge Expertise Skills - 35 Points
- 7+ years of experience in developing data conversion and migration
- At least one experience of working with migrating data from different legacy platforms to a new solution.
- Full life-cycle data conversion experience with enterprise systems, including deployment experience.
- Data analysis, investigative and logic skills, including the ability to troubleshoot and solve complex technical problems.
- Experience with overseeing /completing all tasks involved in the conversion process including data extraction, profiling, cleansing, import data, manipulate data, transformation and loading.
- Experience liaising with teams to understand to-be migration requirements.
- Knowledge and understanding of Information Management principles, concepts, policies and practices.
- Experience providing support through the cutover process.
- Knowledge of data model of case management solutions and experience in data migration/conversion of large case management applications.
- Experience with migrating attachment files from legacy applications to new solution.
- Experience with document migration
Criteria 2: Technical Skills - 35 Points
- Experience with industry leading ETL tools such as Informatica, Azure Data Factory and cloud technologies.
- Proficiency in query languages such as Oracle SQL, PL-SQL, SQL Server, etc.,
- Exceptional level of knowledge on relationships between tables to perform and construct complex query statements from multiple data sources.
- Knowledge of various database structures and RDMS like Oracle, MS SQL Server, Azure SQL Database, and write complex SQL queries, etc.,
- Knowledge and understanding of mainframe data formats, data types, segments and non-relational data structures
- Data analysis, investigative and logic skills with high attention to details, including ability to troubleshoot and solve complex technical problems.
- Experience with data conversion scripts and tools.
- Experience with file migration from different file storages such as Azure BLOB, Azure file share, SharePoint, Oracle BLOBs.
- Experience completing mapping, interfaces, conversion work, data exclusion and inclusion, documentation and verifying completeness and accuracy of converted data, including data dictionary development and updates.
- Experience delivering the required system changes and/or working with the development team or a dedicated conversion team to specify loads programs.
Criteria 3: Communication Skills - 25 Points
- Communication, facilitation, negotiation, consensus building, and problem-solving skills
- Provide periodic status reports, present dat