Data Platform Architect

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The Data Platform Architect defines how enterprise applications, data platforms, and business processes are connected to enable trusted, scalable, and efficient use of data across the organization.

The role shapes the strategic direction for data integration, governance, platform capabilities, and data consumption patterns while ensuring alignment with enterprise architecture principles.
Your role:



* You will evaluate the data capabilities and requirements of enterprise application technologies and determine how they can effectively operate within the broader enterprise data landscape, with Salesforce currently being the primary technology focus.



* You will translate business needs into Salesforce Data Cloud design decisions that enable Customer 360, segmentation, consent-aware activation, and trusted commercial insights.



* You will set the enterprise approach for how Salesforce connects with data platforms such as OneDX (Snowflake) and other enterprise sources, balancing federation, ingestion, sharing, and operational integration needs.



* You will shape the analytics architecture for CRM users by enabling governed metrics, decision-ready dashboards, and embedded insights within business workflows.



* You will lead the CRM data migration approach from legacy platforms, ensuring data readiness, business validation, reconciliation, and cutover alignment for phased global rollout.



* You will establish operating standards for CRM data quality, stewardship, lineage, lifecycle management, privacy, and secure access in alignment with enterprise governance and regulatory expectations.



* You will guide architecture choices that support high-volume data, performance, scalability, sharing, visibility, and long-term platform maintainability.



* You will provide the data foundation for AI-enabled CRM use cases, including Einstein and future Agentforce scenarios, by ensuring customer and commercial data is unified, trusted, and governed.



* You will lead data architecture workshops with business, IT, enterprise architecture, product, analytics, implementation partner, and regional rollout teams to validate requirements and decisions.



* You will communicate architecture recommendations, roadmap implications, risks, trade-offs, and investment considerations to business and IT stakeholders.

Your expertise:



* Bachelor's degree or equivalent experience is required, a degree in Computer Science, Information Systems, Data Science, Engineering, or a related field is preferred.



* 8-10 years of experience in data architecture,...