Principal Data Architect

Principal Data Architect

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.

• 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 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.

• 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 product ionize 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 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.

• 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)

• 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)