Lead Data Engineer, Customer Data Graphs

Salesforce

Seattle, WA, US
Base: $172,500 - $260,100 annually; bonus/equity: ...
Hybrid
Customer data graphs
Scalable etl/elt frameworks
Python and sql
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 while maintaining strict data quality and lineage.
  • Act as a technical pillar for a specialized team of data and AI engineers, fostering technical excellence and elevating the overall skill set of the organization.

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: Medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • Customer data graphs
  • Scalable ETL/ELT frameworks
  • Python and SQL
  • Petabyte-scale data handling
  • Customer identity graphs
  • Sub-second performance data delivery
  • Data quality and latency standards

Nice-to-have

  • Technical mentorship
  • Cross-functional collaboration
  • AI integration and automation
  • Agentic systems data architecture

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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