Principal Data Architect

HP Inc.

Quick summary

Work type: On-site
Location: Spring, TX
Salary: $147,050–$230,850 / yr
Posted: 15 days ago
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $189k

$127k most similar roles pay here $242k

This role pays more than 58% of similar roles. Most pay $139,200–$211,200 — the shaded band above. At the midpoint, this role pays about $189k versus about $175k for comparable roles.

Based on 240 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 79 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 76 roles with salary data.

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View all roles at HP Inc.

At a glance

TL;DR · Principal Data Architect

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As a Principal Data Architect at HP, you will lead the enterprise data platform architecture and strategy, enabling scalable AI/ML, telemetry analytics, and business intelligence solutions. Your role involves end-to-end ownership of data ecosystems from ingestion to insights, translating business priorities into scalable data strategies. You will design future-ready data platforms for large-scale structured and unstructured data, establish data standards, and drive data as a strategic asset across the organization. Key responsibilities include designing data warehouses/lakes, defining enterprise-grade architectures, and ensuring adherence to governance, privacy, security, and compliance standards. Technical expertise in cloud platforms like AWS and Azure, data lakes, lakehouses, ETL/ELT, and pipeline orchestration is required, along with proficiency in Python, SQL, Scala, and Java. You will also partner closely with Data Science teams to productionize ML/AI models and optimize data pipelines for MLOps workflows.

Skills

AWS Azure Python SQL Apache Spark Apache Kafka Apache Hadoop ETL ELT CI/CD MLOps Data Lakes Lakehouse Data Warehousing Streaming data systems Data Mesh Medallion architecture API-driven data services Data governance Scalability

What you'll do

Design enterprise-wide data architecture for scalable AI/ML and BI solutions.
Lead the development of future-ready data platforms supporting large-scale analytics.
Establish data standards and governance frameworks across the organization.
Translate business priorities into a strategic data roadmap aligned with digital transformation goals.
Partner with Data Science teams to productionize ML/AI models into scalable systems.

What we're looking for

Extensive experience in designing and implementing enterprise data architectures for large-scale structured and unstructured data.
Expertise in cloud platforms (AWS, Azure) and modern data stack technologies including Data Lakes, Lakehouse, and Data Warehousing.
Proven ability to translate business priorities into scalable AI-ready data strategies and drive data monetization initiatives.
Strong background in ETL/ELT processes, pipeline orchestration, and MLOps for productionizing ML/AI models.
Deep knowledge of data governance, security, compliance standards, and experience with data quality frameworks and lineage management.

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