Senior Staff Data Platform Engineer for AI Analytics

Salesforce, Inc.; Atlanta (GA); Vor Ort; USD 197.000 - 365.000; Vollzeit

Zusammenfassung

Salesforce, Inc. is seeking a Staff or Senior Staff data platform engineer to help build out Agentic Analytics.

You will collaborate on technical direction, build, and move from early prototypes to production, spanning ingestion, infrastructure, semantic layers, and interfaces for humans and AI agents. You’ll partner with engineers across Data Engineering, Data Science, product, core infrastructure, and developer experience to rapidly iterate on high-leverage problems and ship pragmatic

Qualifikationen

• 8+ years of experience building and operating a data platform.
• Led complex technical projects across teams as an individual contributor.
• Strong software engineering skills balanced with deep data expertise.
• Clear technical communication and ability to align engineers, data scientists, analysts, and product partners.

Aufgaben

• Build data platform for agents. Design APIs, MCPs, and tools that map data concepts to data warehouse entities.
• Improve the semantic layer so people and agents can navigate metric definitions, lineage, ownership, and reliability.
• Build ingestion and infrastructure for timely analytics and experimentation; evaluate freshness, accuracy, reliability and cost.
• Ship tools that make data easy to analyze; enable drafting accurate queries, root-cause analysis, and visualizations.
• Own the path to production; drive architecture, implementation, rollout, and adoption.
• Raise the engineering bar by mentoring and leading by example across teams.

Kenntnisse

Python

Go

Java

Data platform

Tools

Airflow

dbt

Databricks

sqlmesh

Datahub

Superset

Snowflake

Jobbeschreibung

Salesforce, Inc. is seeking a Staff or Senior Staff data platform engineer to help build out Agentic Analytics.

You will collaborate on technical direction, build, and move from early prototypes to production, spanning ingestion, infrastructure, semantic layers, and interfaces for humans and AI agents. You’ll partner with engineers across Data Engineering, Data Science, product, core infrastructure, and developer experience to rapidly iterate on high-leverage problems and ship pragmatic