As a Data Integration Consultant, you will play a key role in connecting customer systems and ensuring seamless, accurate data exchange across a range of software platforms. You will configure, maintain, and validate data integrations, translating complex source data into reliable structures that support customer business needs. Working at the intersection of Product Management, Engineering, and Customer Implementation, you will help deliver successful onboarding experiences and maintain existing integrations as customer requirements evolve. You will leverage your expertise in JSON, APIs, data transformation, and validation to troubleshoot issues and improve integration processes. You will also contribute to technical documentation, internal training, and the development of AI-assisted workflows that increase operational efficiency. This is an opportunity to join a collaborative, technology-driven environment where your work directly supports customer success and continuous product innovation, with potential for progression to a Senior-level position.
Review source-system documentation, sample JSON payloads, and available datasets to understand data structures, objects, properties, identifiers, relationships, customizations, and technical limitations.
Translate customer and business requirements into accurate source-to-target data mappings, clarifying technical specifications with project leads and relevant stakeholders.
Configure data mappings through the integration platform, including direct field mappings, transformations, formulas, conditional logic, filters, and literal values.
Support standard and custom objects across source and destination systems, including Association Management Systems (AMS), Customer Relationship Management (CRM) platforms, third-party applications, and internal products.
Apply and maintain mappings for new customer onboarding, data migration, conversion projects, and ongoing integration requirements.
Execute mapping tests and validate integration results by comparing source and destination data, checking record counts, field values, relationships, and expected business outcomes.
Investigate missing, duplicated, rejected, or incorrectly transformed records, identify configuration issues, document findings, and escalate connector or platform defects with clear, reproducible examples.
Maintain and update existing configurations as customers modify their systems, data models, custom fields, or business rules.
Identify technical capabilities required for new third-party systems and integration use cases, defining potential platform, API, and authentication enhancements in collaboration with Product and Engineering teams.
Maintain comprehensive technical documentation, including mapping specifications, configuration records, test evidence, supported use cases, known limitations, and troubleshooting procedures.
Develop reusable mapping templates and validation processes to improve consistency, reduce repetitive work, and increase implementation efficiency.
Support Integration Services, onboarding, and customer support teams through technical documentation, training, and guidance, enabling them to manage routine configurations and validations independently.
Provide technical escalation support for complex mappings, exceptions, and integration challenges, working with customer implementation and support teams when necessary.
Collaborate with project leads and stakeholders by communicating technical progress, effort estimates, dependencies, findings, and potential delivery risks.
Participate in customer and vendor discussions when technical clarification is required, communicating integration requirements and solutions effectively through written and verbal channels.
Leverage approved AI tools to improve data mapping, analysis, validation, and documentation processes while helping develop reusable AI capabilities and supporting agent-assisted, MCP-enabled, and self-service workflows.
Verify AI-generated outputs and ensure all tools and processes comply with established requirements for data accuracy, security, and sensitive information.
Recommend improvements to interfaces, reporting capabilities, and internal utilities that enhance mapping oversight and exception management, including developing prototypes through approved AI-assisted tools where appropriate.
Follow established company policies and procedures and undertake additional responsibilities as assigned.