Quality Data Engineer

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:

• 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

• 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.

• 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).

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

• 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.

• 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.

• 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.

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

• 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)

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).

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