Senior Data Engineer, Metrics & AI Platform

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

Job summary

Salesforce’s Slack Data Engineering team seeks a Staff Data Engineer to define and govern the metrics platform, enabling scalable data products across Product, Analytics, Marketing, Sales, and Ops. You will lead architecture, data modeling, and governance efforts while mentoring senior engineers.

The role emphasizes building scalable pipelines, AI-assisted development, and close collaboration across multiple teams to deliver trusted data at scale within the Agentforce initiative.

Qualifications

• 10+ years of software or data engineering experience.
• 6+ years hands-on with data architecture, data modeling, and metadata management.
• Deep SQL, strong Python, and working proficiency in Go, Java, or Scala.

Responsibilities

• Set the architecture and roadmap for the metrics platform from ingestion to serving.
• Design and scale data models and pipelines for large datasets with clear SLAs.
• Evolve semantic layer and APIs for metric definitions, lineage, and ownership.
• Lead metric certification, governance, and design reviews while mentoring senior engineers.

Skills

SQL

Python

Go/Java/Scala

Data architecture

Leadership

Multi-team initiatives

Spark

Trino

Airflow

Education

Related technical degree

Tools

Spark

Trino

Airflow

Iceberg

Snowflake

Job description

Salesforce’s Slack Data Engineering team seeks a Staff Data Engineer to define and govern the metrics platform, enabling scalable data products across Product, Analytics, Marketing, Sales, and Ops. You will lead architecture, data modeling, and governance efforts while mentoring senior engineers.

The role emphasizes building scalable pipelines, AI-assisted development, and close collaboration across multiple teams to deliver trusted data at scale within the Agentforce initiative.