Principal Data Architect - AI-Ready Data & Agentic Solutions

We’re looking for a Principal Data Architect who has spent their career deep in data and analytics, and is now hands-on with the latest AI technology stacks - someone who can architect AI-ready data for agentic workflows, not just talk about it. This is an individual contributor role on the technical career path, but at this level, that means leading from the front: owning technical direction across workstreams, driving deliverables with cross-functional teams, and bringing clarity to ambiguous, high-stakes architectural problems. You’ll interact regularly with technical teams, business partners, and executives across HP’s business units, working on the next phase of agentic AI for the enterprise alongside our frontier technology partners. This isn’t an advisory or PowerPoint role - you’ll be building, not just designing., * Architect AI-ready data foundations, including the semantic and context layers that make enterprise data usable by LLMs and agentic workflows.

• Lead technical workstreams end-to-end - setting direction, aligning teams, and owning clearly defined deliverables.
• Partner directly with frontier AI vendors and internal stakeholders to prototype, validate, and scale new architectural patterns.
• Shape enterprise data strategy and platform architecture, spanning data warehousing, modeling, and governance.
• Build hands-on solutions using LLMs - not just evaluate or recommend them.
• Engage confidently with business and executive stakeholders across HP’s business units, translating complex architecture into business context and vice versa., The Enterprise Data & Analytics (EDA) organization is HP’s central team for corporate data - covering Data Architecture, Data Strategy, Data Engineering, Data Platforms and Analytics for initiatives that span the entire company. As a Principal Architect on this team, you’ll work directly with technical and business teams across HP’s business units, and have a real seat at the table in shaping HP’s data and AI strategy.

• 10+ years designing and delivering enterprise data warehousing solutions, with deep expertise in data modeling, data engineering and enterprise data architecture - Data & Analytics should be the throughline of your career, not a chapter in it.
• Proven track record defining data strategy and platform architecture within a large, complex enterprise.
• Broad enterprise knowledge spanning multiple business domains (Supply Chain, Finance, Sales, Customer, etc.) and data subjects - you understand data beyond the technical layer and can connect architecture to business outcomes.
• 3+ years of hands-on experience with modern AI architecture, including building real, production-grade solutions using LLMs and applied AI solution design - pilots and proof-of-concepts alone don’t meet this bar.
• Hands-on experience with Databricks and Microsoft Fabric is strongly preferred; familiarity with the broader Azure and AWS data ecosystem is expected.
• Comfort working across multiple technologies and platforms, with a clear, demonstrable habit of continuously learning as the landscape shifts.
• Strong communication and influencing skills - equally effective shaping strategy with senior leadership and rolling up your sleeves on the architecture itself.

The pay range for this role is $147,050 to $230,850 USD annually with additional, HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave
• US benefits overview https://hpbenefits.ce.alight.com

You’ll be working on problems that don’t have established playbooks yet, alongside some of the top technology companies in the world who HP has partnered with at the frontier of AI. If you’ve spent your career in data and you’re ready to apply that depth to where enterprise AI is actually heading, this is the role.