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 The following represents the expected range of compensation for this role: - This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $249,600 - $327,600. The estimated base salary for this role is $187,200 - $245,700. - Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

• Own the enterprise observability reference architecture covering metrics, logs, traces, and events across all environments (cloud and on-prem). • Drive the OpenTelemetry-first instrumentation strategy -- standard libraries, semantic conventions, collector topologies (DaemonSet, gateway, sidecar), and pipeline design. • Build and operate telemetry pipelines on Grafana Mimir, Loki, and Tempo, including multi-tenant configurations, retention policies, and capacity planning. • Define how we measure reliability: SLOs, SLIs, error budgets, and alerting frameworks -- consistently across all lines of business. • Own the integration between observability tooling and incident management (ServiceNow ITOM, xMatters). • Drive telemetry schema standards to ensure teams emit data that is useful downstream, not just technically compliant. • Build and maintain reference architectures for our hybrid footprint: OpenShift on-prem with KVM/libvirt and Dell PowerFlex storage, plus Azure, AWS, and GCP. • Lead standards work around workload identity and federation using SPIFFE/SPIRE and cloud-native IAM patterns. • Provide guidance on compute runtime selection -- containers vs. VMs vs. bare metal vs. serverless. • Help teams connect autoscaling and capacity planning behavior to actual telemetry signals. • Push FinOps maturity forward by integrating cost data into the observability stack, establishing unit economics, and working toward open billing standards like FOCUS. • Identify where AI/ML adds practical value in our observability stack. • Define observability standards for AI-powered systems (agents, RAG pipelines). • Ensure new AI-powered platforms are instrumented correctly from day one. • Participate in cross-functional architecture working groups focused on observability and hybrid cloud standards. • Publish architecture decision records and reference implementations that teams can actually use. • Mentor architects and platform engineers; conduct architecture reviews to raise the bar across the org. • Work with security and compliance on HIPAA, SOX, and PCI requirements as they apply to telemetry and cloud infrastructure. • Represent CVS Health in vendor evaluations and stay connected to the open-source ecosystem (CNCF, OpenTelemetry, Grafana Labs).

Job Title:  AI Architect (IT)  Pay Range: $150,000-$175,000 Annual Base Salary Position Summary:  The AI Architect owns the technical design, engineering implementation, and operational sustainability of CPRS’s AI solutions. This role is accountable for translating approved business use cases and product requirements into secure, scalable, and production-ready AI architectures that deliver reliable performance in real-world enterprise environments.  The AI Architect does not own enterprise prioritization, roadmap decisions, or business value realization. Instead, this role partners closely with the AI Product Manager to ensure that technical solutions are feasible, well-architected, efficiently delivered, and capable of achieving defined success criteria.    Specific Responsibilities (Key tasks and outcomes):  Other duties may be assigned.  - Translate approved AI use cases and product requirements into end-to-end technical architectures.  - Design, develop, deploy, and maintain AI and machine learning solutions in production environments.  - Own technical implementation across data pipelines, models, integrations, infrastructure, and workflows.  - Select appropriate AI techniques, tools, and platforms based on functional requirements, scalability, security, and cost considerations.  - Collaborate with data engineers, developers, and platform teams to ensure successful deployment and integration.  - Tune, optimize, and monitor models and solutions to ensure performance, reliability, and usability.  - Troubleshoot and resolve issues related to AI systems, data quality, and production performance.  - Establish and maintain architecture standards, reusable patterns, and technical documentation.  - Advise the AI Product Manager on feasibility, complexity, risks, and technical tradeoffs.  - Stay current on AI technologies and recommend practical enhancements aligned to enterprise needs.    Position Requirements:  Knowledge Components:  - Strong programming and solution architecture expertise in AI and machine learning.  - Deep understanding of model development, deployment, and lifecycle management.  - Strong technical communication skills for working with non-technical stakeholders.    Experience (Years and types):  - Bachelor’s degree in computer science, data science, engineering, or related field; Master’s preferred.  - 7+ years of experience in solution or data architecture roles.  - 3+ years delivering AI or advanced analytics solutions in production environments.    Skills and Abilities:  - Expertise in Python and modern ML frameworks.  - Experience deploying AI in regulated or enterprise environments.  - Familiarity with cloud platforms, APIs, data pipelines, and MLOps practices.    Success Measures  - AI solutions are production-ready, reliable, and scalable.  - Technical implementations meet defined performance and security standards.  - AI capabilities integrate seamlessly into enterprise systems and workflows.  - Leadership views the AI Architect as a trusted technical authority.    Physical Work Environment:  The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  - Dedicated home office required, as most work performed remotely.  - High speed internet connection required.   - Working hours should mirror those of assigned client for at least 50% of the work week and 50% of client’s day/time zone. (e.g., 40 hr. work week, 20 hrs. available for Client communication)  - While performing the duties of this job, the employee must occasionally lift and/or move up to fifty pounds.   - Specific vision abilities required by this job include close vision and ability to adjust focus.  - The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear.  - The employee is frequently required to stand, walk; and reach with hands and arms.  - The noise level in the work environment is usually moderate.  - Travel required (may be up to 30%)  Company Benefits: - Medical, Dental, Vision insurance - HSA - Long-term Disability, Critical Illness, Accident, Life policies available - 401(k) - 401(k) Company Match - Tuition Reimbursement - Paid Time Off - Floating Holiday All candidates must be authorized to work in the United States. Sponsorship not available. CPRS, Inc. is an Equal Opportunity Employer.

Role Description The Expert Solution Consultant is a highly trusted technical and business advisor responsible for shaping, owning, and leading Ensono’s most complex, high-value client solutions. This role operates at the intersection of strategy, architecture, sales, and delivery—driving large-scale, multi-year transformation initiatives across hybrid, cloud, and outsourced environments. - Act as Lead Solution Architect for Ensono’s most complex and strategic client initiatives and enterprise pursuits - Lead executive-level discovery and strategy conversations to gain buy-in for transformational, multi-platform solutions - Design and own end-to-end solution architectures spanning cloud, hosting, network, security, storage, DR, DevOps, and governance - Partner with Sales, Consulting, Product Management, PMO, and Delivery teams to create integrated pursuit, solution, and execution strategies - Develop and present compelling technical solutions and business cases to executive, technical, and financial stakeholders - Create and oversee solution and migration plans, from high-level program frameworks to detailed project plans and cutover runbooks - Lead architecture efforts through critical migration milestones including testing, cutover, stabilization, and operational handoff - Collaborate with finance and pricing teams to develop complex, multi-year financial and pricing models - Influence Ensono product and technology roadmaps by providing structured client and market feedback - Drive higher-value, value-added services aligned to Ensono’s strategic offerings - Mentor and guide other Solution Consultants, sharing best practices and raising architectural and consultative standards across the organization Qualifications - 10+ years of experience as a solution architect or senior technical consultant within traditional managed infrastructure / ITO or managed service provider environments, supporting enterprise distributed (x86) platforms - Proven ownership and delivery accountability for large, multi-year enterprise infrastructure or transformation deals ($20M+ TCV), serving as the primary technical owner rather than a supporting architect - Deep expertise across the hosting and infrastructure technology landscape, including compute, storage, network, security, backup, DR, DevOps, and IT governance - Proven experience designing and delivering large-scale, multi-platform, multi-year outsourcing and transformation solutions - Experience designing hybrid infrastructure solutions that include public cloud (AWS and/or Azure), with primary depth in traditional hosting, managed infrastructure, and operational transformation - Demonstrated success leading complex sales cycles, including executive-level solution positioning and contracting processes - Experience planning and facilitating discovery, assessment, and solution design workshops - Proven ability to manage projects through the full lifecycle while maintaining high client satisfaction - Exceptional communication, presentation, and interpersonal skills with the ability to influence senior executives - Bachelor’s degree in engineering, computer science, or a related technical discipline - Major industry certifications and accreditations (cloud, architecture, or infrastructure-related) - Comfort operating with high autonomy in complex, ambiguous environments, exercising strong judgment with minimal process or guardrails - Experience acting as a technical mentor or practice leader within a solutions or architecture organization Benefits - Unlimited Paid Days Off - Three health plan options - 401k with company match - Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts - Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement - Paid childbearing and paternal leave - Education Reimbursement, Student Loan Assistance or 529 College Funding - Sabbatical leave - Wellness program - Flexible work schedule