ROLE OVERVIEW

The Data Cloud Architect Migration Factory is a cross-track technical authority responsible for designing and governing the Salesforce Data Cloud implementation layer that underpins every migration wave within the Migration Factory. Bridging the gap between legacy data estates and the Salesforce unified customer platform, this role owns the end-to-end Data Cloud architecture from ingestion stream design and identity resolution to unified profile modelling, segmentation activation and data readiness assessment for Agentforce. This position extends the readiness architecture into the Migration Factory delivery engine ensuring every customer migrated across Marketing Cloud Next, Revenue Cloud, ITSM and Tableau Next tracks has a well-governed, AI-ready, unified data foundation in Salesforce Data Cloud from day one. The architect is equally responsible for the data migration discipline owning data profiling, ETL strategy, transformation mapping, reconciliation standards and cutover data integrity across all migration tracks. As a member of the Migration Factory CoE, this role drives continuous improvement of data migration and Data Cloud accelerators, ensuring each wave delivers higher data quality and faster time-to-insight than the last.

RESPONSIBILITIES

- Data Cloud Architecture Cross-Track Ownership: Design the Salesforce Data Cloud architecture that serves as the unified data foundation for all Migration Factory tracks owning data stream configuration, identity resolution rules, unified profile schema, data lake object (DLO/DMO) design, calculated insights and segmentation activation to downstream clouds.
- Data Readiness Assessment: Lead data readiness assessments for every incoming migration wave profiling source system data estates across Marketing Cloud, CPQ/Billing, ITSM and BI platforms to identify data quality gaps, schema mismatches, consent record completeness and AI-readiness of the data for Agentforce activation.
- Agentforce Data Readiness: Design the data architecture that makes migrated customer data AI-ready for Agentforce ensuring unified profiles, grounding data, retrieval-augmented generation (RAG) context and structured data actions are correctly configured in Data Cloud and available to Agentforce agents post-migration.
- Data Migration Strategy Factory-Wide: Own the cross-track data migration methodology for the Migration Factory defining standards for data profiling, ETL pipeline design, transformation mapping, staging area architecture, bulk load sequencing,



cutover window design, dry run execution and reconciliation sign-off across all five tracks.
- ETL Integration Pipeline Design: Architect ETL and data integration pipelines for migrating high-volume source system data into Salesforce objects and Data Cloud selecting appropriate tools (Informatica, Talend, MuleSoft, Azure Data Factory, AWS Glue) based on source system, volume and transformation complexity.
- Identity Resolution Design: Design and implement Salesforce Data Cloud identity resolution rulesets defining match rules, reconciliation rules and individual/household profile merge strategies for migrated customer data from multiple legacy source systems.
- Consent Compliance Architecture: Architect the consent data migration strategy across all tracks ensuring GDPR, CAN-SPAM, CASL and POPI consent records, suppression lists and data processing agreements are correctly migrated into Data Cloud and propagated to activation targets including Marketing Cloud Next.
- Data Quality Validation Framework: Design and enforce the factory-wide data quality framework defining validation rules, anomaly detection thresholds, reconciliation counts, completeness checks and data quality warning standards in Data Cloud and Tableau Next post-migration.
- Data Cloud Product Expertise Roadmap: Maintain deep, current knowledge of Salesforce Data Cloud product capabilities, roadmap, feature releases and best practices translating current product capabilities into updated factory playbooks and delivery standards.
- Cross-Track Collaboration: Work closely with the Marketing Cloud Next, Revenue Cloud, ITSM, Tableau Next and DevOps Track Architects ensuring Data Cloud integration points, data stream dependencies and unified profile activation are correctly wired into each tracks delivery plan and cutover sequence.
- Trusted Advisor to Clients: Serve as the senior data architecture advisor to client CDOs, Data Engineering leads and Enterprise Architects articulating the vision for a unified, AI-ready data platform built on Salesforce Data Cloud as the outcome of the migration programme.
- Factory Accelerator Development:



Build and maintain the Data Cloud migration accelerator library data stream templates, DLO/DMO schema blueprints, identity resolution config guides, consent migration playbooks, ETL pipeline templates, reconciliation scripts and data quality dashboards as reusable factory assets.
- Platform Development for Factory Tooling: Design and build Apex-based Data Cloud API callout frameworks, batch data validation utilities and LWC-based data reconciliation dashboards deployed on the Salesforce platform to support factory data migration operations.
- Continuous Improvement Factory Feedback: Capture Data Cloud and data migration lessons learned after every wave, feeding structured improvements back into the MDLC Phase 7 Factory Feedback loop driving measurable reduction in data migration effort, defect rate and cutover duration wave-over-wave.

CORE TECHNICAL SKILLS MUST HAVE

- Salesforce Data Cloud Deep Expertise: Advanced hands-on knowledge of Data Cloud data streams, data lake objects (DLO), data model objects (DMO), identity resolution, unified profiles, calculated insights, segmentation, activation targets and Data Cloud APIs.
- Agentforce Data Readiness: Understanding of how Data Cloud unified profiles, grounding data, structured data actions and retrieval-augmented generation (RAG) context feed Agentforce agents and how to design the data architecture to make migrated data AI-ready.
- Data Migration Methodology: Proven expertise in end-to-end enterprise data migration data profiling, ETL pipeline design, transformation mapping, staging architecture, bulk load sequencing, dry run execution, reconciliation and cutover planning across high-volume source systems.
- ETL Data Integration Tools: Hands-on experience with at least two ETL/integration tools Informatica Cloud (IDMC), Talend, MuleSoft, Azure Data Factory, AWS Glue, Fivetran or similar for large-scale data extraction, transformation and load into Salesforce and Data Cloud.
- Identity Resolution Design: Experience designing Data Cloud identity resolution rulesets match rules, reconciliation rules, individual/household profile merge logic and deduplication strategies for multi-source customer data estates.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Technical Architect - Data Cloud (Hyderabad)
🏢 salesforce
📍 Hyderabad