Senior Data Architect – AI-Ready Data & Agentic Solutions
AI in this role
Description -
We're looking for a Senior 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.
What You'll Do
- 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.
What You'll Bring
- 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.
About the Team
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 Senior 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.
Why This Role
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.
Pay & Benefits
The pay range for this role is $147,050 to $230,850 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
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/
The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Data & Information TechnologySchedule -
Full timeShift -
No shift premium (United States of America)Travel -
Relocation -
YesEqual Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
How we rate this
Senior Data Architect – AI-Ready Data & Agentic Solutions at HP rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Databricks in your day-to-day work.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Agents and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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