Lead Data Engineer, Customer Data Graphs

Salesforce

Seattle, WA, US
Base: $172,500 - $260,100 annually; bonus/equity: ...
Hybrid
Python and sql for etl/elt
Petabyte-scale data handling
Sub-second performance for ai
Design and implement specialized data structures that support the use of customer data graphs, which power agentic context and memory

Job Summary

  • Design and implement specialized data structures that support the use of customer data graphs, which power agentic context and memory.
  • Lead the development of robust ETL/ELT frameworks using Python and SQL, building highly decoupled, modular pipelines that can handle petabyte-scale data.
  • Establish and enforce rigorous technical standards for data quality, and latency to ensure agents provide reliable, real-time insights.

Matching Summary

Design and implement specialized data structures that support the use of customer data graphs, which power agentic context and memory.

Salary

Base: $172,500 - $260,100 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python and SQL for ETL/ELT
  • Petabyte-scale data handling
  • Sub-second performance for AI
  • Data quality and latency standards
  • Cloud-based data solutions

Nice-to-have

  • Agentic context and memory
  • Cross-functional collaboration
  • Technical mentorship
  • AI integration and automation

Key Requirements

  • 8+ years of experience
  • Related technical degree
  • Proficiency in Python, SQL, Spark
  • Experience with Airflow, dbt, Informatica
  • Experience with AWS, Azure, Google Cloud
  • Experience with Salesforce Ecosystem, Data Cloud

Work Rights

Not specified

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