Full-Time

Senior Data Architect

Data Architecture, AI Readiness

Posted on 8/28/2025

Mediafly

Mediafly

51-200 employees

AI-powered revenue enablement platform

Compensation Overview

CA$120k - CA$160k/yr

Remote in Canada

Remote

Remote based in Canada

Category
Data & Analytics (2)
,
Required Skills
Power BI
Microsoft Azure
Data Structures & Algorithms
AWS
REST APIs
Information Architecture
Data Analysis
Snowflake
Requirements
  • 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.
Responsibilities
  • 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 sources.
  • 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.
Desired Qualifications
  • 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

Mediafly provides a modular revenue platform that helps sales, marketing, finance, and supply-chain teams improve revenue performance. It integrates with a company’s existing tech stack to enable revenue teams to collaborate, predict, assess, engage, and execute across the customer lifecycle. The platform delivers curated, interactive content and tools to create personalized buyer experiences, quantify value with ROI/TCO analyses, and build a solid business case. It also uses AI-powered revenue intelligence to spot risks, improve forecast accuracy, inspect pipelines, and report on metrics, helping teams coach and drive predictable revenue growth. Revenue is generated through a subscription-based model that gives clients ongoing access to the platform and its features.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$139.7M

Headquarters

Chicago, Illinois

Founded

2006

Simplify Jobs

Simplify's Take

What believers are saying

  • $80M BIP Ventures funding accelerates AI revenue intelligence expansion.
  • SugarCRM partnership delivers personalized content across sales lifecycle.
  • Infilect integration provides real-time CPG shelf intelligence via API.

What critics are saying

  • Appinium and Dooly integrations fail, eroding platform reliability by October 2026.
  • Highburn steals PepsiCo clients with native AI sales enablement in 2027.
  • Seismic causes 25% churn through superior engagement analytics in 2027.

What makes Mediafly unique

  • Mediafly unifies content management, value selling, and AI learning in Revenue360 platform.
  • Appinium acquisition integrates Salesforce LMS for seamless sales training.
  • Dooly acquisition embeds AI note-taking to boost Salesforce productivity.

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Benefits

Health Insurance

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Generous Paid Parental Leave

Remote Stipend

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

3%

2 year growth

0%
Mediafly
Mar 16th, 2026
Top 3 sales enablement strategies CPG leaders shared at our NYC roundtable.

Top 3 sales enablement strategies CPG leaders shared at its NYC roundtable. What does crafting a custom fragrance have to do with revenue enablement tools? More than you might think. Last month, Mediafly and its partner Infilect brought together a group of revenue leaders at Olfactory NYC in West Village for an evening that started at the fragrance bar and ended in a frank, unscripted conversation about the future of field selling, AI, and value-focused revenue enablement. The parallel became clear almost immediately: building a great scent, just like building a great sales motion, requires the right foundation, smart iteration, and a willingness to let data guide your decisions. Read on to hear the top three sales enablement strategies that emerged from the conversation. Sales enablement in the age of AI: from gut feel to real-time intelligence. One of the sharpest insights of the evening came from Cristian Spuza, AVP Customer Development Organization at The Kraft Heinz Company, who put it bluntly: "AI doesn't exist if you don't have your data." The most sophisticated revenue enablement tools in the world, whether for content delivery, shelf intelligence, or value selling only perform when they have a unified, clean data foundation to work from. Tony Kavadas, Chief Sales Officer at Mediafly, framed the opportunity in terms of what he calls "the moment of truth", when a sales rep is face-to-face with a buyer and needs to perform. That moment, whether it's a short-cycle retail store call or a multi-month Walmart reset negotiation, demands that sellers arrive armed with the right content, the right data, and a story that centers around the buyer's category outcomes - not just their own product. Harris Fogel, Head of GTM at Infilect, brought this to life with a vivid example: a merchandising firm representing four manufacturers in a single candy aisle previously required separate visits and manual audits. Now they can scan the entire shelf in under two minutes and receive AI-generated priority actions in real time: fix out-of-stock labels, correct pricing, move products to eye level. Every part of the process that required manual steps is now actionable, instant, and evidence-backed. Value selling: crafting the ROI story with buyers' data. A recurring theme across the roundtable: the best sellers don't sell their product, they sell the impact of their product. As Cristian noted, Walmart doesn't care about one supplier among fifty. What they care about is total category performance for the shopper. This is where value selling and shelf intelligence converge in a powerful way. When a rep can walk into a store with before-and-after shelf imagery, real-time planogram compliance data, and a story that shows how their placement recommendation drove category lift beyond brand volume, the conversation shifts entirely. You stop defending margins and start negotiating execution. Cristian shared one compelling example: by tracking shelf images across a statistically relevant set of stores and correlating them with store-level POS data, his team was able to demonstrate that a vertical merchandising shift for ketchup and marshmallows drove 16% total category growth at Walmart. That's the kind of insight that earns a seat at the buyer's table, and keeps it. As Tony put it: "Every sales person is a storyteller. The great ones make it memorable." The right revenue enablement platform ensures that the story is always supported by data and always centered on value. Revenue enablement platforms: why unified data is the real competitive advantage. Throughout the evening, the conversation kept returning to one fundamental truth: fragmented data kills both human and AI performance. When shelf imagery lives in one system, POS data sits in your CRM, and syndicated data from IRI or Nielsen IQ is housed elsewhere, no human or AI can synthesize those signals into meaningful action fast enough to matter. The Mediafly and Infilect partnership addresses this directly. Infilect's AI-powered shelf intelligence feeds real-time execution data through API into a unified data lake. Mediafly's revenue enablement platform then equips reps with the right content, value tools, and AI-generated recommendations all in one place, at the exact moment they need it. No context-switching. No hunting for assets. No manual data reconciliation. Harris captured the before-and-after with a story about a sales rep named Miguel who used to spend his evenings tabulating store visit data in Excel missing his son's baseball games just to send a spreadsheet to HQ. With the right tools in place, that reporting happens automatically, instantly, and accurately. Miguel got his evenings back, and his company got better data. One attendee noted that after implementing proper revenue enablement tools, he closed deals 72% faster than his teammates. That's not an anomaly, it's what happens when sellers stop managing complexity and start focusing on customer value. From fragrance to revenue enablement framework. The fragrance workshop was more than a fun icebreaker. It was a reminder that great outcomes, whether it's crafting the perfect scent or the perfect sales call, come from having a smart framework, iterating with intention, and using the right inputs to guide every decision. Attendees left the room with Cristian's practical advice ringing in their ears: start with one small step. If your sales team is walking into stores without knowing what's on the shelf, start collecting pictures. If they're pitching the wrong promotions to the wrong stores, fix the data flow first. The AI, the automation, and the scale come once the right revenue enablement foundation is in place. Ready to unify your revenue enablement tools? See how Mediafly helps revenue teams connect content, value selling, and AI-powered intelligence into one unified platform.

GlobeNewswire
Jun 2nd, 2025
Mediafly Acquires Appinium for AI Suite

Mediafly has acquired Appinium, a leading learning management system on the Salesforce AppExchange, as part of its strategy to enhance its AI-driven revenue enablement suite. The acquisition, completed in April, includes all Appinium employees and executives joining Mediafly. Financial terms were not disclosed. This move aims to address challenges in sales and marketing by improving alignment, tech adoption, and content delivery through a unified, AI-driven platform.

LaBarge Weinstein
Aug 13th, 2024
Vancouver Tech Startup Dooly Acquired by Chicago’s Mediafly to Empower Sales

Dooly, the Vancouver-based AI startup known for its Salesforce note-taking tool, has been acquired by Mediafly, a Chicago-based B2B software firm. This acquisition aims to enhance sales productivity by integrating […]

LaBarge Weinstein
Aug 6th, 2024
Vancouver Tech Startup Dooly Acquired by Chicago's Mediafly to Empower Sales

Dooly, the Vancouver-based AI startup known for its Salesforce note-taking tool, has been acquired by Mediafly, a Chicago-based B2B software firm.

Business Wire
Mar 21st, 2024
Sugarcrm And Mediafly Partner To Power Modern Selling Experiences Via Integrated Sales Enablement And Content Management At Scale

SAN FRANCISCO--(BUSINESS WIRE)--SugarCRM, provider of the award-winning AI-driven sales automation platform, today announced a new technology partnership with Mediafly, a leader in sales enablement and content management. Mediafly for Sugar equips customer-facing teams with the content and analytics needed to provide engaging, personalized, and interactive buying experiences leading to greater sales success. In the world of today’s business-to-business sales engagement, the average customer spends less time interacting with salespeople than ever before. Therefore, sellers must make the most of the time they have when in front of buyers and provide relevant content to guide customers to a decision. In addition, sellers need to ensure they are providing the right content throughout the entire sales lifecycle, even when they aren’t engaging directly with the buyer. This includes pre-meeting materials, guided follow-up, and ongoing check-in materials – a value proposition the combined Sugar and Mediafly offering delivers

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