Principal Data Solutions Architect

Principle Data Solutions Architect**Description -****Principal Data Solutions Architect****Job Summary**HP PageWide Industrial operates at the intersection of high‐performance hardware, industrial software, and real‐time data at factory scale. This role is for a senior architect who wants to shape how industrial presses connect to cloud platforms, partner ecosystems, and AI‐enabled solutions—unlocking real‐time productivity insights and enabling the next generation of intelligent, autonomous press operations.This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems, third-party analytics and workflow solutions, robotics, and the HP PrintOS platform and applications.**Responsibilities*** Own and lead the end-to-end ecosystem integration architecture; consider the data, systems, and workflows spanning many domains including presses, jobs, attached or involved devices, AI capabilities and agents, and partner systems within factory settings and associated cloud services.* Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.* Define and evolve the technical roadmap and target-state architecture for press-to-factory and cloud ecosystem integrations.* Serve as the architectural authority to define factory-level and partner-facing API standards, contracts, and governance.* Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.* Lead evaluation and adoption of industry standards and emerging opportunities.* Explore, prototype, and validate AI-enabled use cases leveraging press and factory data.* Engage directly with customers and partners as needed for technical escalations, integration strategy alignment, and early adopter and pilot engagements.* Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.* Build and manage relationships throughout the Industrial Print organization.* Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.* Provide guidance and mentoring to less experienced staff members.**Education & Experience Required*** Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.* Typically has 10+ years of work experience designing and delivering high-performant industrial software, data engineering, cloud platforms, or a related field.* Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.* Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration.* Familiarity with cybersecurity considerations in industrial and cloud-connected environments.* Experience working with external partners, standards bodies, or large enterprise customers.**Desirable Knowledge & Skills*** Agile Methodology* AI Domains for Industrial Applications* computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting* Amazon Web Services* Big Data* Data Analysis* Data Engineering* Data Modeling* Digital Twins* Hybrid Edge+Cloud Systems* Extract Transform Load (ETL)* Product Leadership* Python (Programming Language)* Roadmap Develoiper* Scalability* SQL (Programming Language)* Software Architecture* System Analysis**Cross-Org Skills*** Effective Communication* Results Orientation* Learning Agility* Digital Fluency* Customer Centricity* Sound Judgment* Creative Understanding**Impact & Scope*** Impacts large functions and leads large, cross-division functional teams or projects.**Complexity*** Provides highly innovative solutions to complex problems within established policy.**Disclaimer*** This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.**Salary**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 ()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 -**Software**Schedule -**Full time**Shift -**No shift premium (United States of America)**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. 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