Lead Data Engineer, AI

Salesforce

. Design Search & Retrieval Systems — Build robust search indices that enable AI agents to perform complex, high-precision retrievals across the Salesforce data ecosystem.

Posted 4/25/2026full-timeSan Francisco • California, Illinois, Washington • 🇺🇸 United StatesSenior💰 $172,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLInformaticaNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Design Search & Retrieval Systems — Build robust search indices that enable AI agents to perform complex, high-precision retrievals across the Salesforce data ecosystem.
Architect the Agentic Retrieval Layer — Serve as primary architect for the semantic layer and embedding pipelines that ground Agentic AI in Customer Success data.
Build Inference Infrastructure — Partner with Decision Scientists to develop specialized infrastructure for attribution and causal modeling.
Drive Operational Excellence — Set and enforce rigorous standards for data quality, latency, and index freshness so agents deliver reliable, real-time insights.
Lead AI Integration & Automation — Automate the data delivery pipeline, ensuring seamless integration across internal databases, third-party APIs, and the AI orchestration layer.
Define the Technical Roadmap — Collaborate with product managers and engineering leaders to shape the long-term vision for agentic retrieval, aligned with the broader migration to Data Cloud.
Mentor & Elevate the Team — Act as a technical pillar for a specialized team of data and AI engineers, fostering a culture of technical excellence and continuous growth.

Requirements

What you’ll need

8+ years of experience in data engineering or a closely related role.
Proficiency in Python, SQL, and distributed processing frameworks (e.g., Spark).
Hands-on experience with ETL/ELT tools such as Airflow, dbt, or Informatica.
Strong foundation in data modeling, database concepts, and data warehousing (SQL and NoSQL).
Experience with cloud data platforms (AWS, Azure, or Google Cloud).
Experience with the Salesforce ecosystem, including Data Cloud.
Proven ability to communicate technical concepts clearly and collaborate across cross-functional teams.
A related technical degree required.

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

PythonSQLSparkETLELTdata modelingdatabase conceptsdata warehousingNoSQLcloud data platforms

Soft Skills

communicationcollaborationmentoringleadership

Certifications

related technical degree