Staff Data Engineer: AI Metrics Platform Lead

Salesforce, Inc.; San Francisco (CA); On-site; USD 197,000 - 314,000; Full time

Benefits offered by this job

Time off programs

Medical

Dental

Vision

Mental health support

Parental leave

Life and disability insurance

401(k)

Employee stock purchase program

Job summary

Salesforce, Inc. seeks a Senior Data/Software Architect to set the architecture and roadmap for a world‑class metrics platform.

You will design scalable data models and pipelines, enforce data quality, and lead governance across teams including Engineering, Product, Data Science and Analytics. You will mentor senior engineers, mentor teams on AI‑assisted development, and craft APIs for semantic navigation of metric definitions.

Qualifications

• 10+ years software or data engineering experience.
• Led complex, multi‑team technical initiatives across Eng, Product, Data Science and Analytics.
• Deep SQL expertise, strong Python, and working proficiency in Go/Java/Scala.
• Hands-on with Spark, Trino, Airflow, Iceberg, Snowflake, and dimensional modeling.
• Related technical degree required.

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 quality, SLAs and freshness signals.
• Evolve the semantic layer and build APIs and tools for metric definitions, lineage and ownership.
• Lead metric certification, governance and design reviews; mentor senior engineers using AI-assisted development.

Skills

SQL expertise

Python skills

Cross-team leadership

Mentoring engineers

Education

Related technical degree

Tools

SQL

Python

Go

Java

Scala

Spark

Trino

Airflow

Iceberg

Snowflake

Job description

Salesforce, Inc. seeks a Senior Data/Software Architect to set the architecture and roadmap for a world‑class metrics platform.

You will design scalable data models and pipelines, enforce data quality, and lead governance across teams including Engineering, Product, Data Science and Analytics. You will mentor senior engineers, mentor teams on AI‑assisted development, and craft APIs for semantic navigation of metric definitions.