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An organization undergoing an Acumatica ERP implementation is seeking a Data Warehousing Specialist to support master data transformation, mapping, and validation activities during the transition from a legacy system to Acumatica. The legacy platform utilizes text‑based item descriptors rather than structured item numbers, creating a complex data normalization requirement. This role will serve as the dedicated resource to manage and execute these data tasks, working closely with the implementation partner and internal stakeholders.
Job Responsibility:
Lead the conversion of legacy master data from descriptor‑based formats to structured item numbers required by Acumatica
Develop, document, and execute data mapping, transformation, and validation rules to ensure accuracy and consistency
Collaborate with internal subject matter experts to understand existing descriptors, item definitions, and business logic
Coordinate with external implementation partners to ensure timely and accurate data processing and troubleshoot roadblocks
Maintain an organized inventory of data assets, mapping tables, transformation logic, and reference documentation
Perform hands-on data cleansing, normalization, and enrichment to prepare data for Acumatica ingestion
Conduct root-cause analysis on data inaccuracies and develop scalable correction and prevention methods
Support data testing cycles, including mock conversions, validation scripts, and exception reporting
Provide ongoing oversight of data structure alignment with ERP design, workflows, and reporting needs
Serve as the primary point of contact for all data-related tasks within the ERP project
Requirements:
3+ years of experience in ERP data management, data warehousing, or master data governance (Acumatica experience preferred)
Strong understanding of data mapping, ETL processes, normalization techniques, and master data structures
Proficiency with Excel, SQL, or similar tools used for data transformation
Experience working with implementation partners and cross-functional technical teams
Ability to interpret unstructured data, create standardized item hierarchies, and convert descriptors to item numbers
Strong analytical, organizational, and problem-solving skills
Ability to manage multiple priorities and operate effectively under time constraints
Nice to have:
Experience with Acumatica or other modern cloud-based ERP platforms
Background in operations, supply chain, construction, or inventory-heavy environments
Familiarity with data governance frameworks and data quality methodologies