The Senior Data Architect at Mediafly will strategize and govern data architecture, optimize information flow, and integrate AI capabilities to enhance user experiences across their product ecosystem.
Who we are:
Mediafly is the leading revenue enablement platform market-facing teams use to plan, predict, coach, and engage at the highest levels. Our unified suite of solutions create immersive buyer experiences; enable sellers to lead with value, allow managers to scale coaching, and empower leaders to forecast with confidence. In today’s unpredictable market, Mediafly is the key to delivering predictable efficient growth.
The Senior Data Architect will define and drive the strategy, design, and governance of our information and data architecture across our product ecosystem. This role is pivotal in ensuring our applications deliver intuitive, measurable, and high-impact user experiences by aligning data structures, information flows, and AI capabilities with business goals. You will partner closely with UI/UX, engineering, and product management to optimize how structured and unstructured information is modeled, navigated, integrated, and consumed.
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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
Data Modeling & AI Readiness
Search & Findability
Event-Driven Architecture
Data Quality, Consistency & Governance
Strategic Data Roadmap
Collaboration & Feasibility
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.
Location and Work Setup:
This is a 100% remote position with a collaborative team that values flexibility and trust. We use modern communication and collaboration tools to stay connected and productive across time zones.
Ready to make an impact on a product that matters? Apply today and help us build the next generation of our platform!
Why Mediafly?
Remote based in Canada
Flexible working hours
Generous Paid Time Off
Competitive Salary
Health Benefits
Transparent Career Paths
Generous Paid Parental Leave
Remote Stipend
Mediafly is an equal opportunity employer, which means we do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome people of different backgrounds, experiences, abilities and perspectives and encourage all interested individuals to apply.
Thanks to our commitment to employee experience, Mediafly has been recognized as a Best Place to Work from Crain's, Inc. and BuiltIn.
Mediafly's HQ is based in Chicago, IL.
Top Skills
AWS
Ggplot2
Looker
Azure
Power BI
Python
R
Salesforce Data Cloud
Seaborn
Sigma
Snowflake
SQL
Tableau
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