Quality Data Engineer

Quality Data Engineer

Description -

This role is responsible for leading the data engineering team supporting application projects and collaborating with cross-functional teams to ensure integration of data engineering deliverables with project outcomes. The role contributes to solution development for complex deals and oversees the development and maintenance of intricate databases. The role takes charge of resolving critical database incidents produces data models and leads model conversion efforts. The role also provides expert guidance exercises independent judgment and fosters productive relationships while mentoring lower-level employees.

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

Education & Experience Recommended:

• Four-year or Graduate Degree in Computer Science Information Systems Engineering Statistics/ Mathematics Machine Learning Data Analytics and demonstrated competence.
• 7-10 years of work experience preferably in analytics data science reporting or a related field.

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)

Preferred Certifications
Data Analytics Certifications

Knowledge & Skills
Agile Methodology
Amazon Web Services
Apache Spark
Automation
Big Data
Computer Science
Data Analysis
Data Architecture
Data Engineering
Data Modeling
Data Warehousing
Extract Transform Load (ETL)
Java (Programming Language)
Machine Learning
Microsoft Azure
NoSQL
Python (Programming Language)
Scalability
Software Engineering
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 $105050 to $161800 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 -

No shift premium (United States of America)

Travel -

25%

Relocation -

Yes

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 HPs EEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal

Required Experience:

IC