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Salesforce

Lead Data Engineer, Customer Data Graphs

Salesforce

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

Posted 4/1/2026full-timeSeattle • Illinois, Washington • 🇺🇸 United StatesSenior💰 $117,200 - $260,100 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLInformaticaNoSQLPythonSparkSQL

About the role

Key responsibilities & impact
  • 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
  • Build customer identity graphs that serve data to applications and AI with sub-second performance
  • Act as a technical pillar for a specialized team of data and AI engineers, fostering technical excellence
  • In partnership with product managers and engineering leaders, align graph strategy and architecture with broader Data360 efforts
  • Establish and enforce rigorous technical standards for data quality and latency to ensure reliable, real-time insights
  • Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer.

Requirements

What you’ll need
  • 8+ years of experience as a Data Engineer or in a similar role
  • A related technical degree required
  • 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, NoSQL databases, and data integration techniques
  • Experience with the Salesforce Ecosystem, specifically Data Cloud
  • Problem-solving skills to troubleshoot and resolve data-related issues
  • Excellent communication skills and ability to collaborate in a cross-functional environment.

Benefits

Comp & perks
  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonSQLSparkETLELTdata modelingdata warehousingNoSQLdata integrationdata quality
Soft Skills
problem-solvingcommunicationcollaborationleadershiptechnical excellence
Certifications
related technical degree