Industry Architect - Advertising & Media Job at Snowflake Computing in New York
Snowflake Computing, New York, NY, United States
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, 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.
IN THIS ROLE, YOU WILL GET TO
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
(e.g., IAB, ANA, Cannes Lions, AdWeek, POSSIBLE, Gartner Analytics & Measurement, MAICON) and lead field enablement to upskill the sales organization and partner ecosystem. ON DAY ONE, WE WILL EXPECT YOU TO HAVE
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 : 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: Media Mix Modeling (MMM)
and budget optimization Multi-Touch Attribution (MTA)
and identity/attribution models Incrementality and lift studies
(geo experiments, holdouts, causal inference) 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. Hands-on familiarity with: Data Clean Rooms (DCRs)
and collaboration patterns Privacy Enhancing Technologies (PETs) Identity resolution
and use of identity providers, clean room partners, and platform IDs.
Technical Proficiency (Hands-On)
Strong knowledge and experience with
SQL and Python
for building analytic data sets, running models, and operationalizing measurement workflows. Experience working within
cloud environments (AWS, Azure, GCP)
and their services. Ability to review and guide data models, pipelines, and analytics code with both 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 and response modeling Churn and lifetime value prediction Audience and lookalike modeling Budget allocation, scenario planning, and optimization
Comfort explaining model design, tradeoffs, and limitations to non-technical stakeholders and aligning 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. Translate those architectures into clear narratives about
business value, risk, and impact on media ROI .
Educational Background
A
Bachelor's degree
in computer science, engineering, statistics, mathematics, economics, or a related field is required. A
Master's degree (or equivalent advanced degree)
in a quantitative or business discipline is preferred. WHAT ARE THE TYPICAL GOALS FOR THE ROLE? Proactive Customer Guidance
Technical Industry Overview
Help major brands and agencies understand
how peers are adopting the AI Data Cloud
for marketing and media. Show how Snowflake solves for
fragmented media, consumer, and outcome data
to support modern marketing science and measurement. Measurement & Identity Architectures
Move customers from legacy, opaque "black box" measurement to
transparent, data-driven frameworks that the brand owns and understands . Design architectures that unify
media, commerce, CRM, and outcome data
in a governed, privacy-safe environment. Ecosystem Partner Engagement
Connecting the Stack Determine how customers should integrate with
DSPs, SSPs, measurement partners, and identity providers
(e.g., LiveRamp, The Trade Desk, leading MMM/MTA and analytics platforms). Facilitate technical alignment between the customer, Snowflake, and the broader
Advertising & Media ecosystem , including measurement and analytics partners. Solution Architecture and Review
Strategic Blueprints Design architectures for: Retail and Commerce Media Networks (RMNs)
and co-op media models. Measurement frameworks
that connect media, consumer journeys, and business outcomes. Privacy-safe collaboration
between brands, agencies, publishers, and partners.
Domain-Specific Reviews
Ensure customer architectures are
compliant with privacy regulations
(GDPR, CCPA, and others) and consent requirements while maximizing analytical utility and flexibility. Strategic Stakeholder Alignment
C-Level Trusted Advisor
Establish
long-running relationships
with Brand and Agency leadership to maintain a consistent vision across global business units and regions. Act as a long-term advisor on
how to evolve marketing science, media measurement, and data collaboration
using Snowflake. Cross-Functional Unity
Drive strong alignment with the
Marketing & Advertising Industry GTM, Product Marketing, and Alliances
teams so that Snowflake shows up with a unified narrative in the market. Technical Industry Point of View Develop and maintain a
clear point of view on industry trends
such as data clean rooms, identity, data mesh, GenAI, and the evolution of linear and digital measurement. Frame these trends through an
advertiser and marketing science lens , including case studies, implementation patterns, and tradeoffs. Workshops, Snowdays and Labs Bring in the wider Snowflake team to run
hands-on labs, solution workshops, and Snowdays
focused on measurement, marketing science, and media optimization. Complement the customer's point of view with
broader industry perspectives
and practical solution patterns. RFP and Deal Support Provide
industry and marketing science expertise
in RFPs and strategic pursuits that require deep knowledge of: The advertising supply chain and buying workflows Audience creation, activation, and measurement Methodological choices and their impact on business outcomes.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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
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.
IN THIS ROLE, YOU WILL GET TO
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
(e.g., IAB, ANA, Cannes Lions, AdWeek, POSSIBLE, Gartner Analytics & Measurement, MAICON) and lead field enablement to upskill the sales organization and partner ecosystem. ON DAY ONE, WE WILL EXPECT YOU TO HAVE
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 : 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: Media Mix Modeling (MMM)
and budget optimization Multi-Touch Attribution (MTA)
and identity/attribution models Incrementality and lift studies
(geo experiments, holdouts, causal inference) 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. Hands-on familiarity with: Data Clean Rooms (DCRs)
and collaboration patterns Privacy Enhancing Technologies (PETs) Identity resolution
and use of identity providers, clean room partners, and platform IDs.
Technical Proficiency (Hands-On)
Strong knowledge and experience with
SQL and Python
for building analytic data sets, running models, and operationalizing measurement workflows. Experience working within
cloud environments (AWS, Azure, GCP)
and their services. Ability to review and guide data models, pipelines, and analytics code with both 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 and response modeling Churn and lifetime value prediction Audience and lookalike modeling Budget allocation, scenario planning, and optimization
Comfort explaining model design, tradeoffs, and limitations to non-technical stakeholders and aligning 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. Translate those architectures into clear narratives about
business value, risk, and impact on media ROI .
Educational Background
A
Bachelor's degree
in computer science, engineering, statistics, mathematics, economics, or a related field is required. A
Master's degree (or equivalent advanced degree)
in a quantitative or business discipline is preferred. WHAT ARE THE TYPICAL GOALS FOR THE ROLE? Proactive Customer Guidance
Technical Industry Overview
Help major brands and agencies understand
how peers are adopting the AI Data Cloud
for marketing and media. Show how Snowflake solves for
fragmented media, consumer, and outcome data
to support modern marketing science and measurement. Measurement & Identity Architectures
Move customers from legacy, opaque "black box" measurement to
transparent, data-driven frameworks that the brand owns and understands . Design architectures that unify
media, commerce, CRM, and outcome data
in a governed, privacy-safe environment. Ecosystem Partner Engagement
Connecting the Stack Determine how customers should integrate with
DSPs, SSPs, measurement partners, and identity providers
(e.g., LiveRamp, The Trade Desk, leading MMM/MTA and analytics platforms). Facilitate technical alignment between the customer, Snowflake, and the broader
Advertising & Media ecosystem , including measurement and analytics partners. Solution Architecture and Review
Strategic Blueprints Design architectures for: Retail and Commerce Media Networks (RMNs)
and co-op media models. Measurement frameworks
that connect media, consumer journeys, and business outcomes. Privacy-safe collaboration
between brands, agencies, publishers, and partners.
Domain-Specific Reviews
Ensure customer architectures are
compliant with privacy regulations
(GDPR, CCPA, and others) and consent requirements while maximizing analytical utility and flexibility. Strategic Stakeholder Alignment
C-Level Trusted Advisor
Establish
long-running relationships
with Brand and Agency leadership to maintain a consistent vision across global business units and regions. Act as a long-term advisor on
how to evolve marketing science, media measurement, and data collaboration
using Snowflake. Cross-Functional Unity
Drive strong alignment with the
Marketing & Advertising Industry GTM, Product Marketing, and Alliances
teams so that Snowflake shows up with a unified narrative in the market. Technical Industry Point of View Develop and maintain a
clear point of view on industry trends
such as data clean rooms, identity, data mesh, GenAI, and the evolution of linear and digital measurement. Frame these trends through an
advertiser and marketing science lens , including case studies, implementation patterns, and tradeoffs. Workshops, Snowdays and Labs Bring in the wider Snowflake team to run
hands-on labs, solution workshops, and Snowdays
focused on measurement, marketing science, and media optimization. Complement the customer's point of view with
broader industry perspectives
and practical solution patterns. RFP and Deal Support Provide
industry and marketing science expertise
in RFPs and strategic pursuits that require deep knowledge of: The advertising supply chain and buying workflows Audience creation, activation, and measurement Methodological choices and their impact on business outcomes.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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