Salesforce
AI CRM
LeadDataEngineer|SeniorPython&SQL
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“Lead Data Engineer | Senior Python & SQL at Salesforce. Skills: Data Engineering, Python, SQL, AI. Implement Retrieval Systems. Design and implement robust search indices”
What You'll Achieve.
Ensure agents provide reliable, real-time insights; Deliver secure, optimized, and high-quality code; Drive efficiency and innovation at scale
Industry & Context.
Problem-solving skills to troubleshoot and resolve data-related issues
What They're Looking For.
Must Have
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, 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, A demonstrated, genuine AI-first approach to engineering, Experience using AI tools (e. g. , Claude Code, GitHub 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
What You'll Do.
Implement Retrieval Systems
Design and implement robust search indices
Build specialized infrastructure for attribution and causal modeling
Build on top of identity graphs
Modernize the data architecture and catalog
Activate Trusted Metrics at Scale
Establish and enforce rigorous technical standards
Automate the data delivery pipeline
Build and ship production-grade software
Design and orchestrate complex systems
Contribute to building and maintaining shared system context
Critically evaluate code
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Partner with Decision Scientists; Partner with Data Scientists; Partner with Product Managers; Partner with Engineering Leaders; Collaborate in a cross-functional environment
Communication Scope
Excellent communication skills
Full Job Description
_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 Senior Python & SQL** Customer Success Data Platform **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. **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 providin
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