Senior Data Architect – AI-Ready Data & Agentic Solutions

HP

Houston (TX)

On-site

USD 147,000 - 231,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Generous paid time off

Job summary

HP is seeking a Senior Data Architect to own AI-ready data foundations and agentic workflows. You will lead cross-functional teams, drive technical direction, and build hands-on solutions with LLMs across data warehousing, modeling, and governance.

The role requires 10+ years in data architecture and production-grade AI experience, with Databricks and Microsoft Fabric experience highly preferred. This is a hands-on, individual-contributor role at HP.

Qualifications

  • 10+ years designing and delivering enterprise data warehousing solutions.
  • Hands-on experience with modern AI architecture and production-grade LLM solutions.
  • Experience with Databricks and Microsoft Fabric preferred.

Responsibilities

  • Architect AI-ready data foundations for LLMs and agentic workflows.
  • Lead technical workstreams end-to-end, setting direction and owning deliverables.
  • Prototype, validate, and scale new architectural patterns with AI vendors.
  • Shape enterprise data strategy, platform architecture, and governance.
  • Build hands-on solutions using LLMs, not just evaluations or recommendations.
  • Engage with executives, translating architecture into business context.

Skills

Data architecture
Data modeling
Data engineering
Communication skills

Tools

Databricks
Microsoft Fabric
Azure
AWS

Job description

Senior Data Architect – AI-Ready Data & Agentic Solutions 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
  • 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 Technology

Schedule - Full time
Shift - No shift premium (United States of America)
Travel - Relocation - Yes

Equal 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"

You want to reshape the way the world works.

So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together.

Privacy, Terms of Use, and Accessibility

Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero-tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work. Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms. You can be yourself at HP. Learn more

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