# Industry Architect – Advertising & Media

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $187k – $246k/yr
**Experience:** 10+ years
**Skills:** Snowflake, SQL, Python, Media Mix Modeling, Multi-Touch Attribution, Data Clean Rooms, Privacy Enhancing Technologies, Identity Resolution, Machine Learning, Generative AI, AWS, Azure, GCP
**Posted:** 2026-04-03

> Serves as technical visionary for Advertising & Media, partnering with brands and agencies to architect privacy-safe media measurement solutions using Snowflake, AI/ML, and marketing science methodologies. Requires 10+ years buy-side experience, SQL/Python proficiency, and expertise in MMM, MTA, and data clean rooms.

## Job Description

## 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 (e.g., IAB, ANA, Cannes Lions, AdWeek, POSSIBLE, Gartner Analytics & Measurement, MAICON) and lead field enablement to upskill the sales organization and partner ecosystem.

## Requirements

**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.

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