Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
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.
Lead Data Engineer Senior Python & SQL Customer Success Data Platform About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM.
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.
Position Overview: 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.
The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem.
Design and implement robust search indices that enable AI agents to perform complex retrievals across the Salesforce data ecosystem.
* Data Architecture and Development: Help modernize the data architecture and catalog for AI consumption and Human augmentation, leading with precision, rigor, and scale.
* Activate Trusted Metrics at Scale: Turn data and insights into action through proactive automation, and reactive interactions.
* Establish and enforce rigorous technical standards for data quality, latency, and index freshness to ensure agents provide reliable, real-time insights.
* Partner with Decision Scientists, Data Scientists, Product Managers, and Engineering Leaders to translate complex business needs into scalable, production-ready technical solutions.
* 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.
* Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
* Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Qualifications: * 8+ years of experience as a Data Engineer or in a similar role.
* 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, No SQL databases, and data integration techniques.
* Experience with the Salesforce Ecosystem, specifically Data Cloud.
* Problem-solving skills to troubleshoot and resolve data-related issues.
* Claude Code, Git Hub Copilot, Codex, Cursor, etc.
) Join our innovative team and contribute to our data-driven success.
Apply today to help us build and maintain the data infrastructure that drives our business forward.
Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life.
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