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Senior Data Architect – AI Ready Data & Agentic AI Solutions

HP Inc.
Bengaluru, IND
Full-time
Senior · 3+ years experience
Onsite
Discovered 3 weeks ago
awsazuredatabricks

Full Job Posting

Schedule -

  • Shift -
  • Travel -
  • 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 "

Qualifications

  • 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
  • Schedule -
  • Shift -
  • Travel -
  • 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 "

Responsibilities

  • 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.

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