Lead Data Engineer, Ai

Salesforce

Base: $172,500 - $260,100 annually (up to $285,800...
Not specified (assumed hybrid or remote based on industry standards)
8+ years data engineering experience
Python sql distributed processing spark
Etl elt tools airflow dbt informatica
Salesforce is seeking a Lead Data Engineer for their Data & Analytics team, responsible for building and scaling data infrastructure for AI applications in customer success. The ideal candidate will have extensive experience in data engineering and proficiency in technologies such as Python, SQL, and cloud data platforms

Job Summary

  • This role serves as the primary architect for the agentic retrieval layer, bridging raw data systems with AI agents to drive business impact.
  • Candidates will design robust search indices and build inference infrastructure to support specialized attribution and causal modeling for Salesforce's Agentforce platform.
  • The position offers a competitive base salary ranging from $172,500 to $260,100 annually, along with comprehensive benefits including equity and paid parental leave.

Matching Summary

Match Score: 85

Salesforce is seeking a Lead Data Engineer for their Data & Analytics team, responsible for building and scaling data infrastructure for AI applications in customer success. The ideal candidate will have extensive experience in data engineering and proficiency in technologies such as Python, SQL, and cloud data platforms.

Salary

Base: $172,500 - $260,100 annually (up to $285,800 in SF/NYC); Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), stock purchasing program

Skills & Requirements

Must-have

  • 8+ years data engineering experience
  • Python SQL distributed processing Spark
  • ETL ELT tools Airflow dbt Informatica
  • Cloud data platforms AWS Azure Google Cloud
  • Salesforce ecosystem Data Cloud experience

Nice-to-have

  • Semantic search indices embedding pipelines RAG
  • Vector databases AI ML infrastructure
  • Causal attribution modeling with Decision Science
  • Mentoring engineers driving technical standards
  • Cross-functional collaboration with product managers

Key Requirements

  • Bachelor's degree in related technical field
  • 8+ years of data engineering experience
  • Proficiency in Python, SQL, and Spark
  • Experience with Salesforce Data Cloud

Work Rights

Not specified

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