Streaming Architectures Data Jobs

1 job found

1d ago

Quality Data Engineer

HP Spring, TX

Spring, TX

1d ago

$105k - $162k/yr Full time Azure Big Data Cloud

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Job Description

HP is building and scaling data platforms that help application teams deliver insights, analytics, and AI-enabled capabilities. In this onsite role in Spring, TX, you will lead enterprise data engineering efforts, shaping how data is architected, governed, and productionized across batch, streaming, and real-time use cases.

You will work with cross-functional partners to modernize the data stack, establish standards for interoperability and modeling, and enable scalable pipelines that support BI, advanced analytics, and AI/ML systems.

Key Responsibilities

Design an enterprise-wide blueprint for how data is stored, integrated, accessed, and governed.
Manage the technical platforms that enable downstream insights and solutions.
Design PS Quality data warehouses and data lakes, including data modeling standards and reusable frameworks.
Define architectural patterns such as medallion architecture, data mesh, and data fabric.
Establish data standards and automated interoperability rules.
Build enterprise-grade data architectures for large-scale structured and unstructured data using batch, streaming, and real-time approaches.
Develop scalable, secure, high-performance data platforms for BI, advanced analytics, and AI/ML use cases.
Lead enterprise data strategy aligned with business, AI, and digital transformation goals.
Identify and prioritize high-value analytics and AI opportunities using telemetry, operational, and product data.
Drive data monetization, standardization, and governance frameworks.
Define roadmaps for modern data stack adoption, including cloud-native, lakehouse, streaming, and GenAI-ready architectures.
Partner with Data Scientists to productionize ML/AI models into scalable systems and workflows (including feature engineering and MLOps).
Lead the design, development, and deployment of complex data pipelines and distributed systems.
Influence executive leadership, architecture boards, and cross-functional stakeholders on data strategy decisions.
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, and apply best practices across the data lifecycle.
Represent HP in industry forums, publications, and innovation initiatives, and translate business goals into platform capabilities.
Support complex problem solving that requires in-depth analysis of multiple factors; provide expertise to functional project teams and contribute to cross-functional initiatives.

Required Qualifications

Education: Four-year or Graduate Degree.
Education focus: Computer Science, Information Systems, Engineering, Statistics/Mathematics, Machine Learning, Data Analytics (demonstrated competence).
Experience: 7-10 years of work experience, preferably in analytics, data science, reporting, or a related field.
Strong experience with Cloud platforms: AWS and Azure (data services, analytics, storage).
Strong experience with data platforms: Data Lakes, Lakehouse, Data Warehousing.
Strong experience in ETL/ELT and pipeline orchestration.
Programming: Python and SQL (mandatory).
Additional: Scala/Java (good to have), Streaming and real-time data systems, data modeling and governance, and MLOps/model deployment pipelines.
Experience with modern architecture patterns: Data Mesh, Medallion, and API-driven data services.

Technology Stack

AWS, Azure
Python, SQL, Scala, Java
Apache Spark
NoSQL
ETL, ELT
Data Lakes, Lakehouse, Data Warehousing
Medallion architecture, Data mesh, Data fabric
MLOps, GenAI, agentic systems, streaming architectures

Benefits

Health, dental, and vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview)

Preferred Certification

Data Analytics Certifications

Other Details

Location: Spring, TX (onsite)
Salary: USD 105,050 - 161,800 per year
Travel: 25%
Relocation: Yes
Schedule: Full time
Shift: No shift premium (United States of America)

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