Senior / lead software developer | data engineer expert (xico)

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 Customer0 and providing trusted data that supports the AI + Human tandem.

What You’ll Do Design and implement robust search indices that enable AI agents to perform complex retrievals across the Salesforce data ecosystem. Partner with Decision Scientists to build the specialized infrastructure required for attribution and causal modeling. Build on top of identity graphs, overlaying structured, unstructured, and real‑time insights for powering Agentic systems and human‑facing applications. Help modernize the data architecture and catalog for AI consumption and Human augmentation, leading with precision, rigor, and 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. 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. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (human or AI‑generated) for correctness, quality, security, and performance. Qualifications 6+ 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. A demonstrated, genuine AI‑first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience using AI tools (e.g., Claude Code, Git Hub Copilot, Codex, Cursor, etc.) in development workflows. Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production‑ready. Excellent communication skills and ability to collaborate in a cross‑functional environment. Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the designated system. Salesforce uses artificial intelligence tools to help recruiters assess and evaluate candidates’ resumes and qualifications, but humans make the final hiring decisions.

Posting Statement

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. #J-18808-Ljbffr