Senior Data & AI Cloud Architect (Pre-Sales)

Salesforce; Houston (TX); On-site; USD 173,000 - 232,000; Full time

Job summary

Salesforce is seeking a Data & AI Cloud Technical Architect to serve as a pre-sales, customer-facing expert blending data platforms with AI strategy. You will translate business needs into architectural solutions, lead architecture conversations, and help drive customer success across enterprise data initiatives.

You will partner with sales and engineering to design lakehouse and cloud data solutions, apply ML and agentic AI concepts, and deliver compelling demonstrations and reference

Qualifications

• Hands-on experience with cloud data warehouse and lakehouse platforms.
• Strong SQL skills and data modeling across structured, semi-structured, and unstructured data.
• 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.
• Willingness to travel domestically and collaborate across teams.

Responsibilities

• Lead technical and business discussions around enterprise data and AI programs from strategy to deployment.
• Develop repeatable propositions, reference architectures, and go-to-market approaches.
• Provide customer-facing architectural guidance during pre-sales engagements and solutions demonstrations.
• Collaborate with sales teams to translate requirements into winning architectures.

Skills

Cloud data platforms

SQL

Data modeling

Python

Agentic AI

LLM fundamentals

APIs

Data pipelines

Security & governance

Communication

Education

Bachelor's degree in CS/MIS/Data Science

Tools

Snowflake

Databricks

BigQuery

Redshift

Azure Synapse

Job description

Salesforce is seeking a Data & AI Cloud Technical Architect to serve as a pre-sales, customer-facing expert blending data platforms with AI strategy. You will translate business needs into architectural solutions, lead architecture conversations, and help drive customer success across enterprise data initiatives.

You will partner with sales and engineering to design lakehouse and cloud data solutions, apply ML and agentic AI concepts, and deliver compelling demonstrations and reference