Senior Application Architect, Databrick

HCSC (Health Care Service Corporation)

Quick summary

Work type
On-site
Location
Chicago, ILRichardson, TX
Salary
$112,200–$202,600 / yr
Posted
6 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k
This role $157k
$98k most similar roles pay here $242k

This role pays less than 71% of similar roles. Most pay $155,000–$226,800 — the shaded band above. At the midpoint, this role pays about $157k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About HCSC (Health Care Service Corporation)

HCSC (Health Care Service Corporation) is the largest customer-owned health insurer in the United States, operating Blue Cross and Blue Shield plans in Illinois, Montana, New Mexico, Oklahoma, and Texas. Industry: Health Insurance

HCSC (Health Care Service Corporation) currently has 11 open roles on FindRole.

Listed pay typically runs $112,200–$202,600 across 11 roles with salary data.

Most-posted roles

View all roles at HCSC (Health Care Service Corporation)

At a glance

TL;DR · Senior Application Architect, Databrick

Join our dynamic team as a Databricks Architect to design and optimize large-scale data platforms using Apache Spark and Databricks. You will configure workspaces, manage clusters, and integrate with cloud services like Azure or AWS while ensuring high performance and reliability of data pipelines. Your daily tasks include optimizing workflows for cost efficiency, implementing security measures, and collaborating closely with data engineers and scientists to support advanced analytics and machine learning projects. Essential skills include hands-on experience with Databricks, Python, SQL, Scala, and cloud platforms, along with a strong understanding of ETL processes and distributed computing. This role demands expertise in version control systems and familiarity with CI/CD pipelines for seamless integration and deployment.

What you'll do

  • Configure and manage Databricks workspaces, clusters, and jobs.
  • Optimize data workflows for performance, cost, and scalability.
  • Integrate Databricks with cloud platforms and external data sources.
  • Monitor system performance and troubleshoot production issues.
  • Implement data security, governance, and access controls.

What we're looking for

  • 3+ years of experience in data engineering or big data platforms
  • Hands-on experience with Databricks and Apache Spark
  • Strong programming skills in Python, SQL, and/or Scala
  • Experience with cloud platforms (Azure preferred)
  • Understanding of data warehousing concepts and ETL/ELT processes
  • Familiarity with version control systems like Git
  • Experience with distributed computing and large-scale data processing

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