Position: Data Solution Architect Location: Remote EST Hours Can work in the US, or LATAM (Eastern Timezone Preferred) Contract Opportunity: 9 Months + High likelihood of extensions Rate: 60-72/HR Primary Focus: Own the end-to-end architecture vision. From current-state mapping to future state design with a sharp eye on technical debt remediation and scalable customer data foundations that are repeatable. • 8+ years in enterprise data architecture with Salesforce, SAP S/4HANA, and Azure • Proven experience modernizing bath ETL into event-driven architectures using streaming • Skilled in metadata lineage, MDM, and hybrid integration strategies • Strong cross-functional communicator across business, IT, and data teams • Experience designing solutions using azure-native services like event grid, data factory, blob, etc • Familiarity with Azure DevOps and GitHub Actions is nice to have for integration workflows Required Skills: • SAP BTP/SCPI, Salesforce APIs, Azure Storage • Python (pandas, great expectations), dbt profiling Goal: Establish a clear baseline for data health and current-state technical debt. • Map how customer data flows today • Identify gaps, inconsistencies, and duplications • Deliver a diagnostic summary with recommendations Day to Day: • Map current data flows for Customer & Product data (Salesforce, SAP, SAP CX, Web) • Evaluate key technical debt patterns (custom scripts, batch jobs, redundant mappings) • Conduct a rapid data profiling and duplication assessment across systems • Identify top 5 sources of data inconsistency (addresses, email, contact linkage) • Identify appropriate business stakeholders to include in status reports and alignment on AI use cases • Align on 1-2 priority AI use cases for NEB