P2P Automation & Data Architect

Databricks; San Francisco (CA); On-site; USD 186,000 - 256,000; Full time

Job summary

Databricks is transforming its Procure-to-Pay processes by embedding automation directly in business workflows. You will own end-to-end P2P sub-processes and drive rapid, adoption‑oriented delivery within the Procurement organization, partnering with Finance Data Strategy and governance teams.

You will design scalable automations with ZIP, SAP, NetSuite, and expense platforms, applying AI/LLM-assisted triage and data enrichment to improve cycle times, exceptions, and spend visibility.

Qualifications

• 4–8 years in data analytics, process automation, or operations roles within P2P, procurement, or finance.
• Hands-on SQL and Python, plus experience with workflow/integration tools (iPaaS, RPA, or native automation).
• Experience building and scaling data products or automations within business workflows.
• Familiarity with ERP systems (SAP or NetSuite) and procurement platforms.
• Ability to design and implement governance for data sources, quality, and access controls.

Responsibilities

• Own end-to-end P2P sub-processes ( intake-to-PO, invoicing, supplier onboarding, expense workflows).
• Translate user pain points into structured requirements and designs; ensure data definitions align with Finance Data Strategy.
• Design, deploy, and scale automations inside business workflows (ZIP, SAP, NetSuite, expense platform, BrickBuy).
• Ship minimum viable automations in weeks; instrument and monitor adoption and performance.
• Build and maintain P2P datasets, dashboards, and cross-reporting metrics.

Skills

SQL

Python

workflow automation

iPaaS

RPA

BI / Dashboards

Databricks platform

Education

Bachelor's degree in a relevant field

Tools

SAP

NetSuite

ZIP

Job description

Databricks is transforming its Procure-to-Pay processes by embedding automation directly in business workflows. You will own end-to-end P2P sub-processes and drive rapid, adoption‑oriented delivery within the Procurement organization, partnering with Finance Data Strategy and governance teams.

You will design scalable automations with ZIP, SAP, NetSuite, and expense platforms, applying AI/LLM-assisted triage and data enrichment to improve cycle times, exceptions, and spend visibility.