Technical Architect 8

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Sales

Job Details

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're 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.

The Data & AI Cloud Technical Architect is a pre-sales, customer-facing enterprise domain expert who combines deep data platform knowledge with broad technical skills, industry acumen, and business strategy savvy. This specialist role sits at the intersection of modern data architecture and AI - helping customers navigate their most complex data and AI challenges, from unified data platforms and lakehouses to agentic AI systems and LLM-powered applications.
The Data and AI Technical Architect is a subject matter expert in one or more of the following areas: data architecture & engineering, data lakehouse & cloud warehouse platforms, enterprise data management, identity resolution, machine learning & AI, integration, cloud computing, security, application architecture, analytics, and agentic AI. With a solid blend of technical depth and consultative skill, this role uses a structured discovery approach to uncover business and technical requirements - and translate them into winning architectures.
This architect brings a broad background spanning cloud data platforms, data engineering, ML, and solution architecture. They lead key technical and business discussions around enterprise data and AI programs - from strategy through architecture to deployment - and determine which technologies and patterns best serve the customer's goals, drawing on deep platform knowledge, industry experience, and cloud-native best practices.
The Data & AI Cloud Technical Architect also helps sales teams develop specific, repeatable propositions and go-to-market strategies. They participate in delivering solution best practices, reference architectures, enablement sessions, and industry summits for customers, partners, and internal audiences.

Baseline Requirements

Data & AI

• Hands-on experience with cloud data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, or equivalent)
• Strong SQL skills and comfort with data modeling across structured, semi-structured, and unstructured data; familiarity with dbt or Spark a plus
• Familiarity with ML fundamentals: feature engineering, model training pipelines, inference patterns, and vector/embedding-based retrieval
• Practical experience with agentic AI or generative AI - built something with LLMs or agents, whether in production, a POC, or a side project
• Comfortable using AI coding tools (Copilot, Cursor, Claude Code, or similar) to build prototypes and demos quickly; Python proficiency strongly preferred

• Deep knowledge of enterprise data platforms and cloud architectures (AWS, GCP, or Azure - including data services, networking, identity, and governance)
• Data management fundamentals: data modeling, MDM, identity resolution, data quality, governance, and lineage
• Integration principles: APIs, event streaming (Kafka/Pub-Sub), ETL/ELT patterns
• Process orchestration and automation
• Principles of network, application, and information security
• Willingness to work with code (Python, SQL, JavaScript, Java, or similar)

• Ability to translate complex business and technical requirements into a compelling solution narrative - for executive, technical, and business audiences
• Strategic problem solver and thought leader; comfortable at the C-suite level
• Strong written, verbal, and presentation skills
• Excellent time management across multiple concurrent engagements
• Lifelong learner - inquisitive, practical, passionate about technology and sharing knowledge
• Willing and able to travel domestically
• Bachelor's degree in Computer Science, MIS, Data Science, Software Engineering, or other STEM field - or equivalent experience. Graduate study a plus.

• Experience working as a data architect, solutions engineer, cloud architect, IT consultant, or developer in a customer-facing role delivering differentiated data and AI solutions. We welcome a variety of backgrounds.
• Hands-on experience building or administering cloud data platforms - warehouse/lakehouse environments (Snowflake, Databricks, BigQuery), data pipelines, and ML platforms
• Experience designing or operating ML workflows: training, experimentation, deployment, and monitoring (SageMaker, Vertex AI, Azure ML, Databricks MLflow, or equivalent)
• Experience with data governance frameworks, compliance, privacy (PII/GDPR/CCPA), and risk mitigation in rel="noopener noreferrer">Accommodations Request Form.
  
  Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
  
  Posting Statement
  
  Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee 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 current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
  
  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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
  
  At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $173,460 - $231,980 annuallyThere is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $190,750 - $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.