Lead Data Engineer

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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 embarking on our own Digital Transformation to deliver customer success for our customers and accelerate our growth. A key pillar of this transformation is building a strong data foundation to support all of our core marketing needs through intelligent data sets as a service.

We are seeking a seasoned and committed Lead AI Data Engineer to architect and build next-generation data pipelines and a central knowledge base for our Marketing organization at Salesforce. In this critical technical leadership role, you will work closely with business partners to translate complex sales and marketing needs into technical requirements, wrangle vast, real-time data from various systems, and design automated, large-scale pipelines. Your work will be instrumental in measuring the success of autonomous agents and enabling their global scale. This position requires an experienced professional who thrives in ambiguous, "0-to-1" environments and is passionate about building novel, high-impact AI systems. You will collaborate with internal technology groups to automate the entire data collection and definition process.

Responsibilities

* AI/ML Systems at Scale: Design, build, and deploy production-grade AI/ML systems, with a preference for expertise in agentic systems, search/recommendation platforms, or data-intensive applications.
* LLM & Foundation Model Expertise: Extensive hands-on experience with LLMs, including fine-tuning, RAG, Context Engineering, Prompt Engineering, and deployment.
* Agent & Tooling: Develop systems enabling AI agents to reason, plan, and utilize external tools (APIs, databases).
* Technical Skills: Expert in Python and large-scale data processing technologies.
* Partner with marketing to define data requirements, build rapid POCs, and document specs.
* Automate ETL in Snowflake and Big Query.
* Construct DBT ETL pipelines for data ingestion and transformation.
* Implement GIT CI/CD for DevOps.
* Analyze metrics with business stakeholders to generate actionable insights.
* Develop POC solutions for new marketing metrics to aid decision-making.
* Design simple, repeatable, and reusable automation data frameworks.
* Oversee BI and data warehouse initiatives for Marketing.
* Review and validate designs against solution architecture and standards.
* Collaborate internally and externally on data collection, analysis, and reporting.
* Provide data support to Data Science teams for model production.
* Work effectively with global teams (North America, EMEA, APAC).
* Manage technical consultant(s).

Required Skills/Experience
Minimum Qualifications:

* Bachelor's in Computer Science or related field with 10+ years of progressive experience in data engineering, modeling, automation, and analytics.
* Solid, hands-on expertise in AI/ML, specifically with Large Language Models (LLMs), including fine-tuning, RAG, Context Engineering, Prompt Engineering, and deployment.
* Robust understanding and clear articulation of data engineering principles, database design, tools, and architecture.
* Proven ability to manage multiple high-priority projects and meet deadlines.
* Proactive capacity to identify and implement operational improvements.
* Experience with Web analytics platforms and data sets (Google Analytics preferred).
* Proficient in Snowflake, Google Big Query, Redshift, or CDP.
* Solid experience with ETL technologies: DBT, IICS, and FiveTran.
* 10+ years of proficiency in SQL, Bash, and Python scripting.
* 7+ years of hands-on experience with Airflow, CI/CD (Jenkins/similar), and GitHub.
* Substantial experience with AWS technologies: ECS, CloudWatch, and Lambda.
* Prior experience mentoring junior team members in a customer-focused environment.
* Experience collaborating closely with Analytics/Data Science teams.
* Essential team-first mentality and excellent interpersonal skills.
* Must proactively communicate status, identify risks, and drive results with minimal supervision.
* Highly motivated self-starter, agile in adapting to shifting priorities, and a critical thinker for innovative solutions under stringent deadlines.

Preferred:

* Experience working with globally distributed engineering teams.
* Experience with data visualization tools (e.g., Tableau).
* Experience with Marketing technology.

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.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $167,300 - $253,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $200,800 - $276,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.