Industry Architect – Advertising & Media
Snowflake, Louisiana, MO, United States
Overview
At Snowflake, we are powering the era of the agentic enterprise. We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
As an
Industry Architect
within the
Industry and Data/AI Architect
teams at Snowflake, you will be a trusted technical partner driving industry-specific transformation. Your goal is to help customers unlock measurable business value by adopting and building on Snowflake’s AI Data Cloud.
In this specific role, you will serve as the
technical visionary for Advertising & Media . You will pivot away from pure platform engineering to focus on the buy-side and measurement ecosystem, working directly with
global brands and media agencies . You will bring together deep expertise in
media measurement, marketing science, and privacy-safe data collaboration
with modern AI and data architecture to guide customers toward a future-proof media strategy.
You will report to the Director of Industry Architects and work inextricably with the
Marketing & Advertising Go-to-Market (GTM)
cross-functional team to co-own account strategy and execution for advertising and marketing effectiveness use cases.
Responsibilities
Partner with Brands & Agencies on Strategic Opportunities
Drive engagement with the world’s largest advertisers and agency holding companies across brand, performance, and advanced analytics teams.
Build trusted relationships with Chief Data Officers, CMOs, Heads of Analytics/Marketing Science, and Enterprise Architects, acting as the bridge between media strategy, marketing science, and technical implementation.
Help customers re-architect how they plan, measure, and optimize media investments using Snowflake.
Innovate and Design Marketing Effectiveness & Measurement Solutions
Translate complex advertising and marketing questions such as signal loss, cross-channel attribution, incrementality, reach and frequency, audience quality, and business lift into data-driven architectures and analytical frameworks.
Design end-to-end blueprints for Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and unified measurement using Snowflake, Python, and modern ML techniques.
Architect solutions that leverage Data Clean Rooms, privacy-enhancing technologies, identity resolution, and AI/ML to connect exposure, consumer, and outcome data in a privacy-safe way.
Drive Repeatability and Scale
Lead strategic initiatives by creating repeatable solution assets, such as:
Marketing effectiveness and MMM frameworks that connect media impressions to sales and business KPIs.
Audience and identity architectures that unify first-party, partner, and platform data.
Commerce/Retail Media Network blueprints when relevant to advertisers and their partners.
Simulation, optimization, and scenario-planning solutions that help clients test investment strategies against business goals before activation.
Help shape new solution concepts from idea to prototype to customer validation, working closely with data scientists, engineers, and product teams to bring new measurement and optimization capabilities to market.
Build demo showcases and reference implementations that prove how AI agents, automation, advanced analytics, and SaaS-style analytical workflows can transform media planning, optimization, and reporting.
Influence the Product Roadmap
Act as the voice of the advertiser and marketing science leader to Snowflake’s product engineering teams.
Provide structured feedback on the specific needs of marketers and analytics leaders, including:
Privacy and governance controls
Statistical and modeling workflows for MMM and incrementality
Non-technical user experiences for marketers and media teams.
Be a Thought Leader for the Advertising & Media Industry
Drive technical thought leadership in marketing science and media measurement for the Advertising & Media industry.
Author technical blogs, reference architectures, and best practices on topics such as MMM, MTA, unified measurement, marketing mix optimization, and data clean rooms.
Speak at major industry and analytics events and lead field enablement to upskill the sales organization and partner ecosystem.
Day-One Expectations
Buy-Side / Measurement Ecosystem Background
10+ years in architecture, marketing science, or technical consulting roles within the advertising and media ecosystem, with specific experience on the buy-side.
Experience with enterprise brands, media agencies, or consulting firms serving them, or adtech, measurement/currency, or analytics companies implementing solutions directly with media buyers and marketing leaders.
Deep Expertise in Media Measurement & Marketing Science
Strong grasp of media and marketing measurement methodologies, including MMM (and budget optimization), MTA and identity/attribution models, incrementality and lift studies, reach & frequency, audience quality, and outcome-based KPIs.
Experience leading or guiding marketing science teams that own these models and explain their business impact to executives.
Knowledge of the Privacy & Identity Landscape
Sophisticated understanding of the transition away from third-party cookies and device IDs, with hands-on familiarity with Data Clean Rooms, PETs, and identity resolution.
Technical Proficiency
Strong knowledge of SQL and Python for building analytic datasets, running models, and operationalizing measurement workflows.
Experience with cloud environments (AWS, Azure, GCP) and their services.
Ability to review and guide data models, pipelines, and analytics code with internal teams and customer data/analytics groups.
Data Science Fluency for Advertising & Marketing
Understanding of how Machine Learning and Generative AI apply to advertising and marketing, including propensity modeling, churn and lifetime value prediction, audience and lookalike modeling, and budget allocation/optimization.
Ability to explain model design, tradeoffs, and limitations to non-technical stakeholders and align them to business outcomes.
Executive And Storytelling Skills
Experience in a customer-facing role with the ability to whiteboard complex, end-to-end architectures for CTOs, CMOs, and Heads of Marketing Science, and translate architectures into clear narratives about business value and impact on media ROI.
Educational Background
Bachelor’s degree in computer science, engineering, statistics, mathematics, economics, or related field is required.
Master’s degree (or equivalent) in a quantitative or business discipline is preferred.
What You’ll Do for Snowflake
Typical Goals for the Role
Proactive Customer Guidance: Help major brands and agencies understand how peers are adopting the AI Data Cloud for marketing and media.
Measurement & Identity Architectures: Move customers from legacy measurement to transparent, data-driven frameworks that the brand owns and understands.
Ecosystem Partner Engagement: Connect with DSPs, DSPs, measurement partners, and identity providers; facilitate technical alignment between customer, Snowflake, and ecosystem partners.
Solution Architecture and Review: Design architectures for RMNs, measurement frameworks, and privacy-safe collaboration between brands, agencies, publishers, and partners.
Domain-Specific Reviews: Ensure customer architectures comply with privacy regulations (GDPR, CCPA, etc.) while maximizing analytical utility.
Strategic Stakeholder Alignment: Establish long-running relationships with Brand and Agency leadership and evolve marketing science and data collaboration using Snowflake.
Cross-Functional Unity: Align with GTM, Product Marketing, and Alliances for a unified market narrative.
Technical Industry Point of View: Maintain a clear POV on trends like data clean rooms, identity, data mesh, GenAI, and measurement evolution.
Workshops, Snowdays and Labs: Run hands-on labs and workshops focused on measurement and marketing science.
RFP and Deal Support: Provide industry and marketing science expertise in RFPs and pursuits requiring deep knowledge of advertising supply chain and measurement.
Compensation & Benefits Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. This role is eligible to participate in Snowflake's commission plan with total on-target earnings typically between $249,600 and $327,600, and an estimated base salary of $187,200 to $245,700. The role is also eligible for Snowflake’s equity plan and a comprehensive benefits package including medical, dental, vision, life, disability insurance; 401(k); flexible spending and health savings accounts; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other benefits.
To comply with pay transparency requirements, you can notify us if you believe that a job posting is not compliant by completing this form. For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
#J-18808-Ljbffr
Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
As an
Industry Architect
within the
Industry and Data/AI Architect
teams at Snowflake, you will be a trusted technical partner driving industry-specific transformation. Your goal is to help customers unlock measurable business value by adopting and building on Snowflake’s AI Data Cloud.
In this specific role, you will serve as the
technical visionary for Advertising & Media . You will pivot away from pure platform engineering to focus on the buy-side and measurement ecosystem, working directly with
global brands and media agencies . You will bring together deep expertise in
media measurement, marketing science, and privacy-safe data collaboration
with modern AI and data architecture to guide customers toward a future-proof media strategy.
You will report to the Director of Industry Architects and work inextricably with the
Marketing & Advertising Go-to-Market (GTM)
cross-functional team to co-own account strategy and execution for advertising and marketing effectiveness use cases.
Responsibilities
Partner with Brands & Agencies on Strategic Opportunities
Drive engagement with the world’s largest advertisers and agency holding companies across brand, performance, and advanced analytics teams.
Build trusted relationships with Chief Data Officers, CMOs, Heads of Analytics/Marketing Science, and Enterprise Architects, acting as the bridge between media strategy, marketing science, and technical implementation.
Help customers re-architect how they plan, measure, and optimize media investments using Snowflake.
Innovate and Design Marketing Effectiveness & Measurement Solutions
Translate complex advertising and marketing questions such as signal loss, cross-channel attribution, incrementality, reach and frequency, audience quality, and business lift into data-driven architectures and analytical frameworks.
Design end-to-end blueprints for Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and unified measurement using Snowflake, Python, and modern ML techniques.
Architect solutions that leverage Data Clean Rooms, privacy-enhancing technologies, identity resolution, and AI/ML to connect exposure, consumer, and outcome data in a privacy-safe way.
Drive Repeatability and Scale
Lead strategic initiatives by creating repeatable solution assets, such as:
Marketing effectiveness and MMM frameworks that connect media impressions to sales and business KPIs.
Audience and identity architectures that unify first-party, partner, and platform data.
Commerce/Retail Media Network blueprints when relevant to advertisers and their partners.
Simulation, optimization, and scenario-planning solutions that help clients test investment strategies against business goals before activation.
Help shape new solution concepts from idea to prototype to customer validation, working closely with data scientists, engineers, and product teams to bring new measurement and optimization capabilities to market.
Build demo showcases and reference implementations that prove how AI agents, automation, advanced analytics, and SaaS-style analytical workflows can transform media planning, optimization, and reporting.
Influence the Product Roadmap
Act as the voice of the advertiser and marketing science leader to Snowflake’s product engineering teams.
Provide structured feedback on the specific needs of marketers and analytics leaders, including:
Privacy and governance controls
Statistical and modeling workflows for MMM and incrementality
Non-technical user experiences for marketers and media teams.
Be a Thought Leader for the Advertising & Media Industry
Drive technical thought leadership in marketing science and media measurement for the Advertising & Media industry.
Author technical blogs, reference architectures, and best practices on topics such as MMM, MTA, unified measurement, marketing mix optimization, and data clean rooms.
Speak at major industry and analytics events and lead field enablement to upskill the sales organization and partner ecosystem.
Day-One Expectations
Buy-Side / Measurement Ecosystem Background
10+ years in architecture, marketing science, or technical consulting roles within the advertising and media ecosystem, with specific experience on the buy-side.
Experience with enterprise brands, media agencies, or consulting firms serving them, or adtech, measurement/currency, or analytics companies implementing solutions directly with media buyers and marketing leaders.
Deep Expertise in Media Measurement & Marketing Science
Strong grasp of media and marketing measurement methodologies, including MMM (and budget optimization), MTA and identity/attribution models, incrementality and lift studies, reach & frequency, audience quality, and outcome-based KPIs.
Experience leading or guiding marketing science teams that own these models and explain their business impact to executives.
Knowledge of the Privacy & Identity Landscape
Sophisticated understanding of the transition away from third-party cookies and device IDs, with hands-on familiarity with Data Clean Rooms, PETs, and identity resolution.
Technical Proficiency
Strong knowledge of SQL and Python for building analytic datasets, running models, and operationalizing measurement workflows.
Experience with cloud environments (AWS, Azure, GCP) and their services.
Ability to review and guide data models, pipelines, and analytics code with internal teams and customer data/analytics groups.
Data Science Fluency for Advertising & Marketing
Understanding of how Machine Learning and Generative AI apply to advertising and marketing, including propensity modeling, churn and lifetime value prediction, audience and lookalike modeling, and budget allocation/optimization.
Ability to explain model design, tradeoffs, and limitations to non-technical stakeholders and align them to business outcomes.
Executive And Storytelling Skills
Experience in a customer-facing role with the ability to whiteboard complex, end-to-end architectures for CTOs, CMOs, and Heads of Marketing Science, and translate architectures into clear narratives about business value and impact on media ROI.
Educational Background
Bachelor’s degree in computer science, engineering, statistics, mathematics, economics, or related field is required.
Master’s degree (or equivalent) in a quantitative or business discipline is preferred.
What You’ll Do for Snowflake
Typical Goals for the Role
Proactive Customer Guidance: Help major brands and agencies understand how peers are adopting the AI Data Cloud for marketing and media.
Measurement & Identity Architectures: Move customers from legacy measurement to transparent, data-driven frameworks that the brand owns and understands.
Ecosystem Partner Engagement: Connect with DSPs, DSPs, measurement partners, and identity providers; facilitate technical alignment between customer, Snowflake, and ecosystem partners.
Solution Architecture and Review: Design architectures for RMNs, measurement frameworks, and privacy-safe collaboration between brands, agencies, publishers, and partners.
Domain-Specific Reviews: Ensure customer architectures comply with privacy regulations (GDPR, CCPA, etc.) while maximizing analytical utility.
Strategic Stakeholder Alignment: Establish long-running relationships with Brand and Agency leadership and evolve marketing science and data collaboration using Snowflake.
Cross-Functional Unity: Align with GTM, Product Marketing, and Alliances for a unified market narrative.
Technical Industry Point of View: Maintain a clear POV on trends like data clean rooms, identity, data mesh, GenAI, and measurement evolution.
Workshops, Snowdays and Labs: Run hands-on labs and workshops focused on measurement and marketing science.
RFP and Deal Support: Provide industry and marketing science expertise in RFPs and pursuits requiring deep knowledge of advertising supply chain and measurement.
Compensation & Benefits Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. This role is eligible to participate in Snowflake's commission plan with total on-target earnings typically between $249,600 and $327,600, and an estimated base salary of $187,200 to $245,700. The role is also eligible for Snowflake’s equity plan and a comprehensive benefits package including medical, dental, vision, life, disability insurance; 401(k); flexible spending and health savings accounts; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other benefits.
To comply with pay transparency requirements, you can notify us if you believe that a job posting is not compliant by completing this form. For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
#J-18808-Ljbffr