Senior Data Architect - Salesforce

What you'll be doing:

• Strategic Data Roadmapping
• Develop phased modernization plans that balance risk, cost, and business impact.
• Align the data strategy with product roadmaps, analytics needs, and AI readiness goals.
• Quantify modernization impact through clear success metrics.
Information Architecture & User Journey:
• Design the structure, categorization, and navigation of information to align with user workflows and journey stages.
• Collaborate with UX/PM/Engineers 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.
Modernization of Complex Data Landscapes:
• Analyze, document, and rationalize existing large-scale data flows across multiple systems.
• If necessary, redesign, replatform, or optimize critical pipelines to improve scalability, performance, maintainability, and costs.
• Create transitional architectures that allow modernization without disrupting current business operations.
• Optimize existing data models for integration, analytics, semantic search, and AI workflows, including agentic reasoning and generative AI.
• Partner with product and engineering teams to ensure models support advanced inference, predictive analysis, and performance measurement.
Data Quality, Consistency & Governance:
• Ensure data consistency and transactional integrity across distributed systems.
• Establish governance policies for data creation, retention, access, and compliance (GDPR, etc.).
• Inventory and map current data assets to identify duplication, gaps, and optimization opportunities.
Advanced Information Modeling:
• Build taxonomies and ontologies to enable structured search, knowledge representation, and AI-driven reasoning.
• Support content strategy and lifecycle management to meet evolving AI, analytics, and business needs.

Collaboration & Leadership

• Work closely with engineering and product leaders to prioritize technical debt reduction alongside feature delivery.
• Serve as a bridge between data engineering teams and business stakeholders, ensuring shared understanding of constraints and opportunities.

We would love to work with you if you have:

• 7+ years in data architecture, information architecture, or related roles, preferably in SaaS product environments.
• Proven success modernizing entrenched, complex data ecosystems.
• Expertise in AWS/Azure data services and integration with third-party tools.
• Strong experience with ETL/ELT methodologies in both batch and streaming contexts.
• Knowledge of data warehousing concepts, dimensional modeling, and data lake architectures.
• Familiarity with observability tools and practices for data pipelines.
• Experience with governance and compliance in multi-system, multi-tenant environments.

Preferred Skills:

• Background in modernizing data systems while maintaining uptime for high-volume, customer-facing platforms.
• Familiarity with semantic search, vector databases, knowledge graphs, and AI-driven data consumption patterns.
• Experience with multiple BI and visualization tools (e.g., Looker, Tableau, Sigma).
• Proficiency in SQL and at least one programming language used in data processing (Python, Scala, etc.).
• Experience with integrating multiple source systems, such as Salesforce and custom-developed systems using REST API

Success Will Be Measured By

• Measurable improvements in pipeline reliability, scalability, and performance.
• Reduction of technical debt and data duplication across the ecosystem.
• Smooth, low-risk transitions from legacy architectures to modern platforms.
• Alignment of data architecture with AI readiness and product strategy.
• Delivery of a measurable, phased data roadmap aligned to business objectives.