Principal AI-Ready Data Architect

HP; Austin (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous parental leave

Job summary

HP is seeking a Principal Data Architect to lead from the front, owning the technical direction across data and analytics workstreams. You will architect AI-ready data for agentic workflows, build hands-on solutions with LLMs, and engage with executives to translate architecture into business outcomes.

The role requires 10+ years in enterprise data architecture, strong data modeling and governance skills, and hands-on experience with Databricks, Microsoft Fabric, and cloud ecosystems.

Qualifications

• 10+ years designing and delivering enterprise data warehousing solutions.
• Proven track record defining data strategy and platform architecture within a large complex enterprise.
• Broad enterprise knowledge spanning multiple business domains and data subjects.

Responsibilities

• Architect AI-ready data foundations for LLMs and agentic workflows.
• Lead technical workstreams end-to-end, setting direction and delivering clearly defined outputs.
• Partner with frontier AI vendors and internal stakeholders to prototype and scale new patterns.
• Shape enterprise data strategy and platform architecture across data warehousing, modeling, and governance.
• Build hands-on solutions using LLMs and applied AI.
• Communicate architecture to business partners and executives clearly.

Skills

Data warehousing

Data modeling

Data architecture

AI/LLMs

Cross-functional collaboration

Executive communication

Cloud platforms

Tools

Databricks

Microsoft Fabric

Azure

AWS

Job description

HP is seeking a Principal Data Architect to lead from the front, owning the technical direction across data and analytics workstreams. You will architect AI-ready data for agentic workflows, build hands-on solutions with LLMs, and engage with executives to translate architecture into business outcomes.

The role requires 10+ years in enterprise data architecture, strong data modeling and governance skills, and hands-on experience with Databricks, Microsoft Fabric, and cloud ecosystems.