Infinite Resource Solutions

Role Description Lead client SMEs through complex schema mapping and source-to-target validation, including automated reconciliation scripts across sandboxes and production cutovers. - Expert in Automation Bypass strategies and Identity Resolution rules to prevent duplicate records and performance degradation during high-volume loads. - Architect Zero Copy Federation via Salesforce Data Cloud (Data 360), mapping Databricks DLOs to Salesforce DMOs for 10–25 year historical datasets. - Lead "Receiving Pipes" development using Bulk API 2.0 and scripting (Python, Node, or SFDX) to ingest 10 years of active and historical records. - Perform complex object mapping from flat legacy tables into normalized Salesforce objects (Accounts, Cases, custom Disaster objects). - Define a hybrid schema bridging physically migrated (10-year) and Zero Copy historical (10–25 year) data. - Configure Match and Reconsolidation rules to link survivor records across 15+ years of Databricks history to active Salesforce cases. - Build Parent-to-Child load sequencing (e.g., Disaster before Case). - Manage Bulk API 2.0 concurrency limits and batch failures to ensure efficient, reliable dry runs and cutovers. Qualifications - Technical expertise in schema mapping and validation. - Experience with Salesforce Data Cloud and Databricks. - Proficiency in scripting languages such as Python, Node, or SFDX. - Strong understanding of data migration and object mapping. Requirements - Experience with Bulk API 2.0 and data ingestion processes. - Ability to configure Match and Reconsolidation rules. - Knowledge of managing data concurrency and batch processing. Benefits - Competitive salary. - Health and wellness programs. - Opportunities for professional development.