Principal Data Architect at Hewlett Packard (HP) – Spring | Jobyssey

Principal Data Architect

Description -

We are seeking a Data Engineering Architect who will lead both enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry analytics, and business intelligence solutions.

This role goes beyond traditional data engineering, requiring end-to-end ownership of data ecosystems, from ingestion to insights, and the ability to translate business priorities into scalable, AI-ready data strategy.

You will partner with Data Science, AI, teams to design future-ready data platforms, industrialize ML pipelines, and drive data as a strategic asset across the organization.

Key Responsibilities

Data Architecture Strategy

Design the enterprise-wide blueprint for how data is stored, integrated, accessed, and governed
Manage the technical platforms that enable downstream insights, solutions, etc
Design PS Quality data warehouses / data lakes
Determine architectural patterns (e.g., medallion architecture, data mesh, data fabric)
Establish data standards and automated interoperability rules

Data Architecture & Platform Leadership

Designing data warehouses / data lakes that meets Quality Business Requirements
Define and implement enterprise-grade data architectures (batch, streaming, real-time) for large-scale structured and unstructured data.
Design scalable, secure, and high-performance data platforms supporting BI, advanced analytics, and AI/ML use cases.
Establish data modeling standards, and reusable frameworks across the organization.

Data Strategy & Transformation

Lead enterprise data strategy, aligning data initiatives with business, AI, and digital transformation goals.
Identify and prioritize high-value analytics and AI opportunities leveraging telemetry, operational, and product data.
Drive data monetization, standardization, and governance frameworks.
Define roadmap for modern data stack adoption (cloud-native, lakehouse, streaming, GenAI-ready architectures).

AI/ML Enablement & Industrialization

Partner closely with Data Scientists to productionize ML/AI models into scalable systems.
Build and optimize data pipelines, feature engineering frameworks, and MLOps workflows.

Engineering Execution & Innovation

Lead the design, development, and deployment of complex data pipelines and distributed systems.
Drive adoption of new technologies (GenAI, agentic systems, streaming architectures, data mesh).
Ensure solutions meet performance, reliability, and cost optimization goals.

Governance, Security & Compliance

Ensure adherence to data governance, privacy, security, and compliance standards in alignment with HP Cybersecurity and privacy guidlines
Maintain master data management, access controls, audits, metadata, management, and data hierarchy
Establish data quality frameworks, lineage, observability, and monitoring mechanisms.
Implement best practices across data lifecycle management.

Cross-Functional Leadership & Influence

Influence executive leadership, architecture boards, and cross-functional stakeholders on data strategy decisions.
Act as a thought leader in data engineering and AI data ecosystems.
Represent the organization in industry forums, publications, and innovation initiatives.

Business Alignment

Translate business goals into platform capabilities
- Faster automated analytics
- Enhanced AI/ML readiness
- Self-Service Tools
- Operational Reporting
- Enable data-driven decision making

Technical Expertise

Strong experience in:
- Cloud platforms: AWS, Azure (data services, analytics, storage)
- Data platforms: Data Lakes, Lakehouse, Data Warehousing
- ETL/ELT and pipeline orchestration
Programming:
- Python, SQL (mandatory)
- Scala/Java (good to have)
Experience with:
- Streaming and real-time data systems
- Data modeling and governance
- MLOps / model deployment pipelines
- Modern architecture (Data Mesh, Medallion, API-driven data services)

Knowledge & Skills

Agile Methodology
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Computer Science
Data Analysis
Data Engineering
Data Modeling
Data Pipelines
Data Warehousing
Extract Transform Load (ETL)
Java (Programming Language)
Machine Learning
Microsoft Azure
Python (Programming Language)
Scala (Programming Language)
Scalability
SQL (Programming Language)

Cross-Org Skills

Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Impact & Scope

Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

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.

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 (US benefits overview)

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 -

Data & Information Technology

Schedule -

Full time

Shift -

Shift 1, 0% premium (United States of America)

Travel -

No

Relocation -

No

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"

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