Principal Data Architect

Principal Data Architect Skip to main content

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Spring, Texas, United States of America time type:
Full time posted on:
Posted Todayjob requisition :
3158696

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
** product ionize 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…