Lead Data Engineer, AI

Salesforce
Chicago, US
On-site

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce is looking for a Data Engineer to join the Data & Analytics organization and help power the future of intelligent, agentic Customer Success. In this role, you'll build and scale the data infrastructure that grounds our AI agents in accurate, real-time, high-context data — bridging raw data systems with the agentic layer driving business impact. You'll serve as the lead technical individual contributor and primary architect for our retrieval systems, partnering across engineering, data science, and product to define and execute the technical vision for agentic data delivery.

What You'll Do

  • 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.
  • Enable Cross-Functional Impact — Translate complex business needs from Decision Scientists, Data Scientists, PMs, and Engineering Leaders into scalable, production-ready solutions.

Required Qualifications

  • 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.

Preferred Qualifications

  • Experience building semantic search indices, embedding pipelines, or retrieval-augmented generation (RAG) systems.
  • Familiarity with vector databases and AI/ML infrastructure.
  • Experience supporting or partnering with Decision Science or Data Science teams on causal or attribution modeling.
  • Track record of mentoring engineers and driving technical standards at a team or org level.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity emp

Skills & Requirements

Technical Skills

PythonSqlDistributed processing frameworksEtl/elt toolsData modelingDatabase conceptsData warehousingCloud data platformsSalesforce ecosystemData cloudCommunicationCollaborationAiData engineeringAgentic customer success

Employment Type

FULL TIME

Level

Mid-Level

Posted

4/25/2026

Apply Now

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