Pre-Sales Data and AI Architect - Solution Engineering (United States)

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword—it's a way of life. The world of work as we know it is changing, and we are looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level‑up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Data & AI Technical Architect – Senior, Hands‑On This role sits at the intersection of data engineering, platform architecture, and applied AI. You will work directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems—including hyperscalers, data lakes, real‑time pipelines, identity systems, and governance frameworks. This role owns the technical architecture end‑to‑end: from deep discovery and system design, through hands‑on validation, to production readiness and long‑term scalability. Your work establishes the data foundation required for trusted AI, agentic workflows, and measurable business outcomes. Your Impact Own and drive the full technical lifecycle, from discovery and system design to architecture validation and technical close, across in‑person and virtual engagements. Design and validate end‑to‑end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems). Own technical architecture decisions, including data modeling, identity resolution, real‑time vs. batch patterns, data graph design, and activation strategies within D360. Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities. Execute hands‑on technical validation (POCs, architectural walkthroughs, reference implementations) to de‑risk complex deals and accelerate D360 adoption. Define repeatable industry‑specific reference architectures built on D360 that scale across accounts and drive consistent outcomes. Collaborate deeply with Salesforce Product & Engineering teams to: Influence roadmap through high‑signal Voice of the Customer feedback Validate architectural patterns against upcoming D360 capabilities Act as a technical authority during escalations, architecture reviews, and executive‑level design discussions. Produce high‑fidelity technical assets (architecture diagrams, demos, governance models, activation patterns) used by field teams, partners, and customers. Serve as a trusted technical advisor to customer Chief Data Officers, Enterprise Architects, and Platform Owners. Ensure D360 architectures align to security, privacy, compliance, and trust requirements—especially in regulated industries. Represent Salesforce's technical point of view for modern data and AI architectures, with D360 as the system of activation, at customer briefings and technical forums. Qualifications You bring progressively senior technical responsibility, including: 7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Strong background in data engineering, platform architecture, or technical architecture roles (pre‑sales or post‑sales). BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred). Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes. Deep expertise in: Modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) Data ingestion patterns (batch, streaming, CDC) Identity resolution, data modeling, and graph‑based relationships Hands‑on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter). Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services. Experience guiding architectural conversations with senior technical stakeholders and influencing platform and data strategy decisions. Ability to translate complex technical concepts into clear architectural guidance for both technical and executive audiences. Experience operating in large, matrixed organizations with complex stakeholder environments. Technical Skill Set As a senior technical architect, you bring depth across: Data Architecture Cloud data platforms: Snowflake, Databricks, BigQuery, Redshift Data modeling, identity resolution, entity relationships, D360 data graph design Batch, real‑time, and hybrid ingestion patterns into D360 Data quality, lineage, governance, and trust frameworks AI & Analytics Python/R, Jupyter, data wrangling, feature preparation Applied machine learning concepts and AI‑readiness architecture on top of D360 Analytics and BI tools: Tableau, Looker, Power BI Salesforce Platform Deep hands‑on knowledge of Salesforce architecture Salesforce Admin / Advanced Admin‑level proficiency Experience designing scalable, secure solutions using D360 as the activation layer across Salesforce Clouds Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Employees and applicants will be assessed on the basis of merit, competence, and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, and promotion decisions at Salesforce and to employment throughout the organization. Benefits & Salary In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well, including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. The typical base salary range for this position is $148,190 - $231,980 annually. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range is $162,960 - $255,150 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr salesforce.com, inc.