LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. LiveRamp is the data collaboration platform trusted by 97% of the top 100 US advertisers. We provide the world’s leading publishers, retailers, brands, and platforms with the infrastructure to build privacy-safe data partnerships that produce real, measurable business outcomes. Our customers include some of the most data-rich, strategically important organizations in the world: companies like Uber, TikTok, Microsoft, NBCU, and a growing roster of Commerce Media Networks and major publishers who are building the next generation of audience and measurement products. Each of them has made a significant investment in data collaboration infrastructure. The Principal Collaboration Architect is the person who makes that investment pay off. This role sits inside our Customer Growth & Insights team. This newly formed, high-visibility group is built specifically to drive program depth and network scale across our most strategic accounts. You’ll partner closely with customers to design their collaboration program from the ground up: the technical architecture, the internal operating model, the use cases, and the measurement framework that proves the program is working. The goal is always the same: build something the customer’s own team can run and grow independently, with LiveRamp as a strategic partner rather than a permanent fixture. If you’re energized by complex, high-stakes program builds, thrive at the intersection of technical depth and commercial strategy, and take genuine satisfaction in handing off something that runs without you, and you’ve done it before at scale, then this role was designed for you. You will: - Design end-to-end data collaboration programs: technical architecture, data schema, privacy framework, and a roadmap to scaled, independently-operated programs. - Build the customer’s internal operating model, organizational structure, workflows, training, and role responsibilities, until the customer’s team can run the program without LiveRamp in the room. - Develop and validate use cases at the intersection of clean room capability and customer business objectives: closed-loop measurement, audience monetization, media-driven attribution, and co-branded data products. - Instrument a program-specific incremental value metric for every engagement: the proof point that anchors renewal, expansion, and internal investment decisions. - Identify and enable agency and data science partners on the customer side; unblocking them is a direct path to faster program activation. - Engage pre-sales with solutions engineering to scope technical requirements before contracts are signed, compressing time-to-value after close. - Produce a Master Playbook per program. This is a transferable, reusable foundation that the customer’s team owns at handoff. - Maintain a partner network perspective on each account: which collaborators belong in the program, which use cases generate the strongest mutual value, and how the customer should expand over time. - Feed structured product feedback to the product team on a defined cadence, translating real program friction into actionable input. About you: - Experience. 10–15 years of experience in data infrastructure, adtech, or data partnerships, with a substantial portion in senior technical customer-facing or program leadership roles. - Technical depth. Hands-on fluency with cloud data platforms (Snowflake, GCP, AWS, or Azure) and working knowledge of privacy-enhancing technologies, including clean rooms, data clean room query design, and identity resolution frameworks. - Program delivery. A track record of designing and leading complex, multi-stakeholder data programs for enterprise customers at a senior level. Experience establishing internal Centers of Excellence or analogous customer-side operating models is a strong differentiator. - Domain knowledge. Familiarity with publisher monetization, retail media, or brand data strategy. Understanding the business model on both sides of a collaboration is essential. - Stakeholder range. Ability to lead technical architecture discussions and executive strategy conversations within the same engagement. Comfort mapping to Product, Data, and Privacy leadership at large organizations. - AI fluency. Proficiency using AI tools to accelerate workflow output for document generation, query drafting, synthesis, and analysis. This is an active expectation of the role, not a bonus. - Communication. Strong written and verbal communication skills; able to translate complex technical concepts for commercial audiences and vice versa. The approximate annual base compensation range is $157,500 to $217,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team. Benefits: - People: Work with talented, collaborative, and friendly people who love what they do. - Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues. - Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave. - Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more. - Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers) - RampRemote: A comprehensive office equipment and ergonomics program—we provide you with equipment and tools to be your most productive self, no matter where you're located More about us: LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance. We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates. California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process. To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.

FEQ227R277 This role can be remote and fluent-proficiency in English and Portuguese is required. As a Sr. Specialist Solutions Architect (SSA) - Data Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, or more. The impact you will have: - Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment - Architect production level data pipelines, including end-to-end pipeline load performance testing and optimization - Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows - Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures - Provide tutorials and training to improve community adoption (including hackathons and conference presentations) - Contribute to the Databricks Community What we look for: - Fluent-proficiency in English and Portuguese/Spanish - 7+ years experience in a technical role with expertise in at least one of the following: - Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions - Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value - Extensive experience building big data pipelines - Experience maintaining and extending production data systems to evolve with complex needs - Deep Specialty Expertise in at least one of the following areas: - Experience scaling big data workloads (such as ETL) that are performant and cost-effective - Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP - Experience with large scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines - Expert with cloud data lake technologies - such as Delta and Delta Live - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Production programming experience in SQL and Python, Scala, or Java - 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures - 2 years of customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 6 months of hire - Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

• Design end-to-end network architectures incorporating sub-sea, dark fiber, IP transit, and WAN/LAN for high-growth digital infrastructure organizations. • Act as the lead technical advisor on complex deals, delivering tailored, high-confidence network solutions that accelerate closure. • Ensure technical validation and consistency across all network deployments and advisory engagements. • Deeply understand and validate supplier offerings, assessing performance, scalability, and technical differentiators. • Influence marketplace data integrity by ensuring network supplier capabilities are accurately represented and transactable. • Provide actionable intelligence on network availability and adjacency to improve AI-driven opportunity routing. • Collaborate with Product and Engineering to integrate network solutions into the platform, including data ingestion and validation. • Drive the "time-to-ready" for new network suppliers, ensuring they are technically validated for immediate deployment. • Interface with Marketing and Supplier Managers to highlight high-value connectivity offerings within the ecosystem.

• Localize the future: Fine-tune LLMs to speak the authentic language of specific regions and industries. • Develop and optimize training and inference workflows with partners and collaborate with internal NVIDIA development teams to improve our software stack • Build sophisticated agentic systems featuring multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks. • Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources. • Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack. • Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines. • Partner with high-growth startups and Enterprise ISVs to embed NVIDIA’s software stack into their core platforms, slashing the time to market for production-grade AI. • Fuel partner innovation through hands-on developer enablement and thorough architectural reviews, turning sophisticated AI visions into production realities. • Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.