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HP
hp

Senior Data Architect – AI Ready Data & Agentic AI Solutions

Bengaluru · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 31d ago

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Skills required

6 listed
Agentic AILarge Language Models (LLMs)DatabricksMicrosoft AzureElectronic Design Automation (EDA) SoftwareFabric.io
Agentic AILarge Language Models (LLMs)DatabricksMicrosoft AzureElectronic Design Automation (EDA) Software

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Job description

Senior Data Architect – AI Ready Data & Agentic AI Solutions

Description -

We're looking for a 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.

  • Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.

  • 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 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.
 

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.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

No

Relocation -

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"

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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