Senior Data Architect

What you'll be doing:

• Information Architecture & User Journey
• Design the structure, categorization, and navigation of information to align with user workflows and journey stages.
• Collaborate with UI/UX to create cohesive, intuitive experiences that improve findability, task completion, and engagement.
• Define and maintain logical content hierarchies for rapid access to data, reports, and documentation.
• Ensure information models and navigation patterns support Data Cloud-driven personalization and Agentforce contextual guidance.
Data Modeling & AI Readiness
• Develop scalable, flexible data models that support both structured and unstructured information across applications.
• Optimize existing data models for integration, analytics, semantic search, Salesforce-native analytics and AI workflows, including agentic reasoning and Salesforce Data Cloud harmonization and identity resolution.
• Partner with product and engineering teams to ensure models support advanced inference, predictive analysis, and performance measurement.
Search & Findability
• Implement and refine search structures, filters, and tagging to improve discovery within and across integrated systems.
• Enable context-aware search experiences that span multiple data source
Event-Driven Architecture
• Define event schemas for concise, complete inter-system communication.
• Architect event flows and integrations, selecting best-fit patterns (publish/subscribe, request/reply, etc.) for scalability and reliability.
• Integrate event data streams from Salesforce Data Cloud for real-time audience updates, journey triggers, and Agentforce actions.
Data Quality, Consistency & Governance
• Ensure data consistency and transactional integrity across distributed systems.
• Establish governance policies for data creation, retention, access, and compliance (GDPR, HIPAA, etc.).
• Inventory and map current data assets to identify duplication, gaps, and optimization opportunities.
Strategic Data Roadmap
• Develop a short- and long-term data strategy for storage, collection, processing, and consumption, accounting for technical and business constraints.
• Create clear alignment between the data strategy, user journey optimization, and measurable business outcomes.
Collaboration & Feasibility
• Partner with teams to assess feasibility of concepts requiring complex data inference or calculations (e.g., predictive modeling, content performance analytics).
• Facilitate cross-team understanding of data structures and flows to support innovation and reduce rework.

We would love to work with you if you have:

• 7+ years in data architecture, information architecture, or related roles.
• Proven experience designing scalable, flexible data models for multi-application ecosystems.
• Expertise in taxonomy and ontology development for enterprise search and AI.
• Well-versed in data structures and algorithms
• Knowledge of building modern data reporting solutions in cloud technologies, including Power BI, is a plus
• Experience integrating Salesforce Data Cloud with enterprise data sources and operational systems.
• Knowledge of enterprise data, data warehousing, and Azure or AWS cloud data platforms.
• Experience with integrating multiple source systems, such as Salesforce and custom-developed systems using REST API
• Experience with modeling, warehousing, and ETL methodologies using cloud-based technologies in the Microsoft or AWS stack as well as non-Microsoft/AWS technology such as Snowflake
• Strong understanding of event-driven architectures and integration patterns.
• Experience with data governance, compliance frameworks (GDPR, HIPAA), and metadata management.
• Demonstrated collaboration with UI/UX and product teams to align data design with user experience goals.

Preferred Skills:

• Experience supporting agentic and generative AI use cases.
• Experience designing for Salesforce Agentforce use cases, including skill design, retrieval-augmented generation (RAG), and contextual AI integration.
• Familiarity with semantic search, vector databases, and knowledge graphs.
• Background in SaaS, enterprise applications, or ISV product environments.
• 3+ years using Python, R, SQL for analytics
• 5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them.
• Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
• Salesforce Platform Data Architect and Platform Integration Architect Certifications 

Success Will Be Measured By:

• Improved user engagement and task success through optimized information architecture.
• Reduction in content/data duplication and increased findability.
• Alignment of data architecture with AI readiness and product strategy.
• Delivery of a measurable, phased data roadmap aligned to business objectives.