Principal Data and AI Architect

Role Overview

• Own and drive the full technical lifecycle, from deep technical 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.

Requirements

• 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.

Tech Stack

• Amazon Redshift
• BigQuery
• Cloud
• Pandas
• Python

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program