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

About the role

The Data & AI Technical Architect plays a critical role in designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI.

Responsibilities

• 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, and 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

• 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).
• Bachelor's degree 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.
• Able 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.

Skills

• 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
• Able 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

Pay

$148,190 - $231,980 annually

Schedule

Full-time