Lead Data Architect

Humana

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Dallas, TX
Salary
$129,300–$177,800 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $154k
$118k most similar roles pay here $238k

This role pays less than 83% of similar roles. Most pay $167,987–$216,300 — the shaded band above. At the midpoint, this role pays about $154k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Humana

Humana Inc. is a leading American for-profit health insurance company based in Louisville, Kentucky, specializing in Medicare Advantage plans.

Humana currently has 20 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 20 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Lead Data Architect

The Lead Data Architect works within all data environments to manage data design, database architecture, metadata, and repository creation. This role involves developing blueprints for data repositories, evaluating hardware and software platforms, integrating systems, and translating business needs into long-term architectural solutions. The architect is responsible for building dimensional database schemas, performing data sheering to remove redundant information, and reviewing object models to improve management and access speeds. Key technical requirements include extensive experience with Azure cloud services, Databricks, Snowflake, and modern data platform architectures. The role requires expertise in API-based, event-driven, and real-time integration architectures, as well as knowledge of AI/ML and Generative AI capabilities. The position focuses on solving complex problems regarding data governance, security, and scalability within highly regulated industries like healthcare or insurance to ensure robust enterprise data strategy.

What you'll do

  • Define and drive enterprise data, analytics, and architecture strategy across Azure, Databricks, Snowflake, and cloud services.
  • Design and implement scalable, secure, and highly available data platform solutions.
  • Establish architectural standards and best practices for data integration, governance, security, and AI capabilities.
  • Provide technical leadership for API, event-driven, and real-time integration architectures.
  • Evaluate emerging technologies and AI capabilities to recommend solutions that deliver measurable business value.
  • Mentor engineering teams and provide oversight across strategic initiatives and platform investments.
  • Conduct data shearing to remove old, unused, or duplicate data from systems.
  • Translate complex business needs into long-term technical data architecture solutions.

What we're looking for

  • Bachelor's Degree in Computer Science, Information Technology, or a related field.
  • Master's Degree (preferred).
  • 8+ years of experience in solution, data, or enterprise architecture roles.
  • Deep hands-on experience with Azure cloud services, Databricks, Snowflake, and modern data platform architectures.
  • Strong experience with API-based, event-driven, and distributed system architectures.
  • Experience designing secure solutions including identity management, access controls, key vault/secrets management, and data protection strategies.
  • Working knowledge of AI/ML and Generative AI architectures integrated into enterprise platforms.
  • Experience in healthcare, insurance, or other highly regulated industries (preferred).

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