Quality Data Engineer

We are seeking a highly skilled Quality Data Engineer to lead our data engineering team and collaborate with cross-functional teams to ensure integration of data engineering deliverables with project outcomes.

The successful candidate will contribute to solution development for complex deals, oversee the development and maintenance of intricate databases, resolve critical database incidents, produce data models, and lead model conversion efforts.

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

• Design data warehouses / data lakes that meet 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 guidelines
• 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
• 4 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)

Benefits:

• 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