Senior Data Platform Engineer for Agentic Analytics

Leadout Capital; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Slack is seeking a Staff or Senior Staff engineer to help build out Agentic Analytics. You will collaborate on technical direction, build, and scale from prototypes to production.

Your work spans ingestion, infrastructure, semantic layers, and human-friendly interfaces for data and AI agents. You will partner with engineers across Data Engineering, Data Science, product, infrastructure, and developer experience to iterate on high-leverage problems and ship pragmatic solutions.

Qualifications

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

Responsibilities

• Build data platform for agents. Design APIs, MCPs, and tools to map data concepts to data warehouse entities.
• Improve semantic layer for metric definitions, lineage, ownership, and reliability.
• Develop ingestion/infrastructure for timely analytics and experimentation; balance freshness, accuracy, reliability, and cost.
• Create tools to draft accurate queries, perform root-cause analysis, and build visualizations.
• Own the path to production: architecture, rollout, and adoption.
• Raise engineering bar through mentorship and leading by example.

Skills

Data platform

Leadership

Python

Go

Java

Communication

Mentorship

Tools

Airflow

dbt

Databricks

Snowflake

Job description

Slack is seeking a Staff or Senior Staff engineer to help build out Agentic Analytics. You will collaborate on technical direction, build, and scale from prototypes to production.

Your work spans ingestion, infrastructure, semantic layers, and human-friendly interfaces for data and AI agents. You will partner with engineers across Data Engineering, Data Science, product, infrastructure, and developer experience to iterate on high-leverage problems and ship pragmatic solutions.