Staff Data Engineer - AI Metrics Platform Lead

Salesforce, Inc.; New York (NY); On-site; USD 238,000 - 345,000; Full time

Job summary

Salesforce, Inc. is seeking a Staff Data Engineer to define and govern the metrics foundation across the organization. You will set technical direction for data models, pipelines, and the semantic layer, partnering with product, analytics, and engineering to deliver trusted metrics.

The role emphasizes leadership as an individual contributor with cross-functional impact, and requires extensive experience in data architecture, modeling, and metadata management.

Qualifications

• 10+ years software or data engineering experience.
• Led complex multi-team technical initiatives as an IC.
• Deep SQL, strong Python; working knowledge of Go/Java/Scala.
• Hands-on with Spark, Trino, Airflow, Iceberg, Snowflake.

Responsibilities

• Set architecture and roadmap for the metrics platform from ingestion to semantic layer and serving.
• Design and scale data models and pipelines for billions of records with measurable quality and SLAs.
• Evolve the semantic layer and build APIs/tools for metric definitions, lineage, and queries.
• Lead metric certification, governance, and design reviews; mentor senior engineers.

Skills

Data engineering

Software engineering

SQL expertise

Python

Go/Java/Scala

Education

Technical degree

Tools

Spark

Trino

Airflow

Iceberg

Snowflake

Job description

Salesforce, Inc. is seeking a Staff Data Engineer to define and govern the metrics foundation across the organization. You will set technical direction for data models, pipelines, and the semantic layer, partnering with product, analytics, and engineering to deliver trusted metrics.

The role emphasizes leadership as an individual contributor with cross-functional impact, and requires extensive experience in data architecture, modeling, and metadata management.