Senior Data Architect for Revenue Ops & AI-Driven Insights

McKesson Corporation

United States

Hybrid

USD 134,000 - 223,000

Full time

14 days+

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Job summary

McKesson Corporation seeks a Lead Data Engineer/Architect to own revenue and performance data architecture, pipelines, and AI-enabled analytics. You will align data models, ETL/ELT, and integrations spanning Salesforce, Outreach, and finance systems, delivering scalable dashboards for Power BI and Tableau.

You will lead architecture standards, automation, and reusable data infrastructure, guiding a team and collaborating with partners across the business. A hybrid work model is available.

Qualifications

Typically requires 7+ years of data engineering or analytics experience.
Expert knowledge of ETL/ELT, data models, and sales or revenue reporting.
Strong SQL, Python, and scripting skills for large-scale processing.
Experience with Databricks, Snowflake, and cloud data platforms.

Responsibilities

Design, build, and support cloud-based data environments for revenue analytics.
Define data architecture and models for revenue operations and dashboards.
Own data lifecycle from collection to reports and dashboards.
Automate data flows for month-end and quarter-end close.
Develop governance, security, and scale for data products.

Skills

Advanced SQL

Python

Scripting

Databricks

Snowflake

Azure Data Factory

Power BI

Tableau

Data modeling

ETL/ELT

APIs

Salesforce

Outreach

Education

Bachelor's degree

Tools