Data Architect - Oracle Health

Oracle

Quick summary

Work type
On-site
Location
Salary
$77,900–$158,200 / yr
Posted
48 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $118k
$61k most similar roles pay here $233k

This role pays less than 90% of similar roles. Most pay $137,312–$211,200 — the shaded band above. At the midpoint, this role pays about $118k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 606 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 466 roles with salary data.

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At a glance

TL;DR · Data Architect - Oracle Health

As a Data Architect on the Oracle Health Advance team, you will develop analytics and scalable data pipelines that power our next-generation electronic health record insights platform. Your role involves integrating diverse healthcare data from EHRs and clinical AI agents, creating advanced visualizations with tools like Tableau or Power BI, and collaborating closely with stakeholders to transform complex performance data into actionable intelligence. You’ll need strong skills in SQL, Python, R, and object-oriented programming, along with experience in cloud-based data-intensive applications and statistical modeling. This role requires a deep understanding of healthcare workflows and the ability to communicate technical findings effectively to non-technical audiences, ensuring that your work drives continuous improvement in clinical efficiency and adoption metrics across global healthcare organizations.

What you'll do

  • Design and build scalable data pipelines for healthcare analytics.
  • Integrate diverse health data from electronic health records and AI agents.
  • Develop advanced visualizations using Tableau, Power BI, or Oracle Analytics Cloud.
  • Collaborate with stakeholders to transform complex data into actionable intelligence.
  • Create metrics and management tools that improve clinical workflows and outcomes.
  • Summarize technical findings for non-technical stakeholders effectively.

What we're looking for

  • 3-5 years of experience in data architecture and analytics
  • Proficiency in SQL, Python, R, and regular expressions for data manipulation
  • Expertise in data visualization tools like Tableau, Power BI, or Oracle Analytics Cloud
  • Experience developing scalable data pipelines and applications in a cloud environment
  • Knowledge of electronic health records (EHRs) and clinical workflows preferred
  • Strong analytical skills with experience in statistical modeling and learning
  • Ability to communicate complex findings to non-technical stakeholders effectively

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