Senior Data Architect for Revenue Ops & AI

McKesson Corporation

Fort Worth (TX)

Hybrid

USD 134,000 - 223,000

Full time

8 days ago
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Job summary

McKesson is seeking a Lead Data Engineer / Architect to own data architecture, pipelines, models, and automation behind revenue analytics on the Provider Revenue Operations team.

The role builds data for sales dashboards, month-end close, payment validation, and leadership reporting, collaborating with technical teams and business partners to deliver scalable solutions that meet current needs and support growth.

Qualifications

  • 7+ years of experience in data engineering or analytics architecture.
  • Expert knowledge of ETL/ELT, data models for sales or revenue reporting.
  • Advanced SQL, Python for large-scale data processing.
  • Strong data modeling including metadata and lineage.
  • Experience with cloud/on-prem/hybrid platforms including SaaS.
  • Experience with Power BI or Tableau.
  • Experience integrating Salesforce, Outreach, and finance systems.
  • Ability to lead complex data initiatives with minimal oversight.

Responsibilities

  • Design, build, and support a cloud-based data environment for revenue data.
  • Define Revenue Operations data architecture and cloud models.
  • Own full data lifecycle from collection to dashboards.
  • Automate data flows for month-end close.
  • Build data models and semantic layers for Power BI/Tableau.
  • Ensure data products are accurate, reliable, scalable.

Skills

SQL (Advanced)
Python
Databricks
Power BI
Tableau
Data modeling

Education

Bachelor's degree or equivalent

Tools

Databricks
Snowflake
Azure Data Factory

Job description

McKesson is seeking a Lead Data Engineer / Architect to own data architecture, pipelines, models, and automation behind revenue analytics on the Provider Revenue Operations team.

The role builds data for sales dashboards, month-end close, payment validation, and leadership reporting, collaborating with technical teams and business partners to deliver scalable solutions that meet current needs and support growth.

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