Lead Data Engineer, Customer Data Graphs

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.

Lead Data Engineer, Customer Data Graphs Office hybrid in Seattle or Chicago As a Data Engineer at Salesforce within the Data & Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. You will work in a dynamic organization that engineers rigorous data pipelines that support customer data graphs, analytics, AI/ML models and systems, and more. What You’ll Do Data Architecture for Agentic Systems: Design and implement specialized data structures that support the use of customer data graphs, which power agentic context and memory.

Scalable Pipeline Engineering: Lead the development of robust ETL/ELT frameworks using Python and SQL. You will build highly decoupled, modular pipelines that can handle petabyte-scale data while maintaining strict data quality and lineage. High-Performance Data for AI: Build customer identity graphs that serve data to applications and AI with sub-second performance.

Technical Mentorship : Act as a technical pillar for a specialized team of data and AI engineers, fostering technical excellence and elevating the overall skill set of the organization. Strategic Technical Roadmap : In partnership with product managers and engineering leaders, aligning graph strategy and architecture with our broader Data360 and graph database efforts. Operational Excellence : Establish and enforce rigorous technical standards for data quality, and latency to ensure agents provide reliable, real-time insights.

AI Integration & Automation : Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer. Qualifications: 8+ years of experience as a Data Engineer or in a similar role. A related technical degree required.

Proficiency in data engineering tools and languages, such as Python, SQL, and Spark. Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc. Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).

Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques. Experience with the Salesforce Ecosystem, specifically Data Cloud. Problem-solving skills to troubleshoot and resolve data-related issues.

Excellent communication skills and ability to collaborate in a cross-functional environment. 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 .

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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. 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 $172,500 - $260,100 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.