Data Architect

Kforce has a client that is seeking a Data Architect in New York, NY. Key Responsibilities:

• Lead data discovery and assessment with application owners, R&D/Engineering SMEs, technical teams, and data owners to identify migration and purging requirements
• Assess databases, file repositories, document stores, interfaces, and other data sources, and establish inventories of data requiring migration, retention, archival, or purging
• Translate Client-approved data purging requirements into executable technical rules, including selection criteria, filters, exclusions, dependencies, and expected results
• Assess data and object dependencies, including parent/child relationships and referential integrity, to prevent unintended impacts during migration or purging
• Perform data profiling and quality assessments and establish pre- and post-purge validation and reconciliation criteria
• Define and lead the end-to-end data migration approach, including extraction, cleansing, transformation, loading, validation, reconciliation, and exception handling
• Develop and execute SQL scripts, ETL processes, APIs, stored procedures, and application-specific migration/purging utilities, including code reviews and non-production testing
• Support SIT/UAT, production cutover, and post-go-live hypercare, resolving data migration, quality, reconciliation, and production issues
• Maintain traceability and provide program leadership with clear reporting on data readiness, migration progress, purge results, reconciliation, risks, issues, and dependencies
• 12 -15 years of experience in data migration, data engineering, ETL, database development, data conversion, or enterprise application migration
• Demonstrated experience leading data workstreams for large-scale application migration, separation, divestiture, carve-out, or transformation programs
• Strong hands-on experience with SQL and relational database technologies such as SQL Server, Oracle, PostgreSQL, or equivalent
• Experience developing and executing data migration and data-purging scripts
• Experience with data profiling, cleansing, transformation, mapping, validation, and reconciliation
• Experience handling complex parent/child and object dependencies
• Experience migrating structured and unstructured data, including documents/files where applicable
• Experience designing reconciliation frameworks and control totals
• Experience conducting mock migrations and production cutovers
• Strong knowledge of ETL/ELT concepts and data integration methodologies
• Strong understanding of relational data models and referential integrity
• Strong troubleshooting and root-cause-analysis skills