This role pays more than
55%
of similar roles. Most pay
$151,750–$224,662
— the shaded band above.
At the midpoint, this role pays about
$189k
versus about
$188k
for comparable roles.
Based on 239 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
104 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 90 roles with salary data.
As a Principal Data Architect – AI-Ready Data & Agentic Solutions within the Enterprise Data & Analytics organization, you will serve as an individual contributor leading technical direction across multiple workstreams. You will architect AI-ready data foundations, including semantic and context layers to make enterprise data usable by LLMs and agentic workflows. Your daily responsibilities involve building hands-on solutions using LLMs, shaping enterprise data strategy, and managing platform architecture involving warehousing, modeling, and governance. You will collaborate with internal stakeholders and frontier AI vendors to prototype and scale architectural patterns. The role requires expertise in data engineering, data modeling, and production-grade AI solution design. Required technologies include Databricks, Microsoft Fabric, and the broader Azure and AWS ecosystems. You must possess deep knowledge of diverse business domains like Supply Chain and Finance to connect technical architecture to business outcomes.
Data Modeling
SQL
Python
AWS
S3
Glue
Redshift
Athena
Lake Formation
ETL
ELT
Data Governance
Data Quality
Metadata Management
Data Cataloging
Lineage
Agile
Data Architecture
Python
SQL
AWS
S3
Glue
Redshift
Athena
Lake Formation
dbt
Airflow
ETL
ELT
Data Modeling
Data Governance
Metadata Management
Data Cataloging
Agile
Data Architecture
Data Modeling
SQL
Python
Databricks
Microsoft Fabric
Azure Data Services
Data Governance
Master Data Management
Metadata Management
Data Warehousing
Machine Learning
Generative AI
Data Science
Cloud Data Platforms
Data Quality