Pre-Sales Data and AI Architect – Solution Engineering

Salesforce

. 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.

Posted 5/19/2026full-timeNew York City • California, Florida, Illinois, Massachusetts, New York • 🇺🇸 United StatesSeniorLead💰 $148,190 - $231,980 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPandasPython

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringplatform architecturetechnical architecturedata modelingidentity resolutiondata ingestion patternsPythonRanalytics workflows

Soft Skills

technical fluencycommunicationcollaborationinfluencingadvisoryproblem-solvingstakeholder managementguidancecustomer engagementexecutive communication

Certifications

BS in Computer ScienceBS in EngineeringBS in Data Scienceadvanced degree preferred