Principle Data Solutions Architect

Principal Data Solutions Architect

HP Page Wide Industrial operates at the intersection of high‑performance hardware, industrial software, and real‑time data at factory scale. This senior architect role shapes 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.

• Own and lead the end‑to‑end ecosystem integration architecture, considering data, systems, and workflows spanning presses, jobs, attached or involved devices, AI capabilities, 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 for technical escalations, integration strategy alignment, early adopter and pilot engagements.
• Leverage domain expertise, business acumen, and 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, model development, validation, and implementation.
• Provide guidance and mentoring to less experienced staff members.

• Four‑year or graduate Degree in Computer Science, Software Engineering, Statistics/Mathematics, or related discipline, or commensurate work experience or demonstrated competence.
• Typically 10+ years of experience designing and delivering high‑performance 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.

• 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 Development
• 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 cross‑divisional functional teams or projects. Provides highly innovative solutions to complex problems within established policy.

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.

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.

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee…