Lead/Staff Data Engineer

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Join Salesforce — Where AI + Data + CRM Meet Innovation

We're Salesforce, The Customer Company, inspiring the future of business with AI + Data + CRM. Guided by our core values and commitment to doing well and doing good, we help companies connect with customers in new, powerful ways — and empower Trailblazers like you to grow, lead, and make a difference.

About the Role: Data Engineering at the Heart of AI Marketing

Join the Marketing AI/ML Algorithms and Applications team — a powerhouse team within Salesforce’s marketing organization, directly influencing how we market our vast product portfolio to a global customer base (including 90% of the Fortune 500).

In this role, you’ll:

• Drive state-of-the-art ML solutions that supercharge our internal marketing platforms

• Help shape customer engagement strategies at massive scale

• Work on AI/ML-powered personalization, propensity modeling, recommender systems & more

• Bring your data engineering expertise to fuel real business impact at global scale

What You'll Do

• Architect and implement scalable data platforms & pipelines for ML model development and production

• Build and manage Feature Stores to enable predictive modeling and analytics

• Design real-time and batch ETL systems, integrating complex customer data from multiple sources

• Collaborate with Analytics, Data Science, and Marketing teams to deliver actionable insights

• Create robust data infrastructure for model deployment, monitoring & tuning

• Ensure data quality, governance, and compliance, aligned with Salesforce's AI Trust framework

• Lead and mentor other engineers, promoting innovation and continuous learning

What You’ll Need

• 8+ years of hands-on experience building enterprise-scale data platforms in the cloud

• Expert-level skills in SQL, Python, PySpark/Spark, Hive, Presto, Kafka

• Experience with cloud platforms (AWS, GCP, Azure) and tools like DBT, Airflow, Snowflake, Redshift

• Strong grasp of data modeling, pipelines, and large-scale data architecture

• Familiarity with AI/ML model pipelines, CDPs, and Customer 360 initiatives

• Passion for enabling data-driven decision-making in a B2B marketing context

• Bonus: Familiarity with Salesforce products or CRM data

Why This Role Stands Out

• Drive AI-powered marketing at the #1 CRM company in the world

• Collaborate with some of the best Data Scientists and Marketing experts

• Influence how Salesforce connects with millions of global customers

• Be part of a team that’s pioneering the future of Agentic AI + Marketing

• Own your impact — not just as an engineer, but as a leader and innovator

Ready to Blaze Your Trail?

If you're passionate about scaling data to power AI, influencing global business strategy, and creating real customer value — this is your opportunity.

Join us, and let’s build what’s next. Together.

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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.