Principal Cloud Engineer – Data Platforms

Elevance Health

Principal Cloud Engineer at Elevance Health driving enterprise data platform architecture across multiple cloud providers. Collaborating with teams to design scalable solutions and implement data technologies.

Posted 4/29/2026full-timeGrand Prairie • Florida, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

CloudKafkaSpark

About the role

Key responsibilities & impact

Define enterprise data platform architecture across multiple cloud providers.
Author and evangelize whitepapers/position papers defining principals and strategies for data and data platforms at Elevance Health.
Design scalable cloud solutions to host data platforms (lakehouse, warehouse, streaming).
Partner with Data Engineering, Enterprise Architecture, and Information Security to establish data architecture standards, models, and patterns.
Design automation platforms supporting cloud data architectures.
Drive adoption of modern data architectures (data mesh, data fabric)
Define data governance, quality, lineage, and compliance frameworks
Partner with engineering teams to deliver data pipelines and platforms
Evaluate and implement data technologies (Databricks, Snowflake, etc.)
Works with stakeholders to establish the overall applications architecture vision
Recommends new technology solutions and products are delivered to stakeholders
Collaborate with stakeholders and technology to define business requirements.
Oversee the development and delivery of technical and/or functional specifications.
Oversee the technical design reviews and testing to architectural technologies for application solutions and products meet business requirements.
Provide continuous consulting services and direction on projects.
Champions and responsible for architectural standards, guidelines, principles, frameworks, and reference models.
Collaborate with stakeholders to define architectures for new strategic initiatives

Requirements

What you’ll need

Requires an BA/BS degree in Information Technology, Computer Science or related field of study
minimum of 11 years experience
multi dimensional platform experience
expert level experience with business and technical applications
Hands on experience with AI tooling
IDE and Services
Expertise in distributed data systems and platforms
Experience with cloud data platforms
Strong understanding of data modeling and warehousing
Experience in regulated environments (HIPAA, HITRUST)
Experience working with a variety of executives and their teams in a matrixed environment
Cross-functional experience (e.g., strategy, change management, business process management)
Experience with healthcare data domains
Experience with big data technologies (Spark, Databricks)
Experience with streaming platforms (Kafka, Kinesis)
Experience with modern architectures (lakehouse, data mesh)

Benefits

Comp & perks

merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical
dental
vision
short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data platform architecturecloud solutionsdata governancedata modelingdata warehousingbig data technologiesstreaming platformsAI toolingdistributed data systemsmodern architectures

Soft Skills

collaborationstakeholder engagementconsultingchange managementcross-functional experienceleadershipcommunicationstrategic thinkingproblem-solvingorganizational skills