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Data Science Architect Jobs in Texas (NOW HIRING)

Hp

Principal Data Architect

Spring, TX · On-site

You will partner with Data Science, AI, teams to design future-ready data platforms , industrialize ... Determine architectural patterns (e.g., medallion architecture, data mesh, data fabric) * Establish ...

Andor Tech Inc.

Senior Data Tech Lead

Houston, TX · On-site

Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders. * Translate complex technical concepts into business terms for executive audiences. * Resolve conflicts and ...

Orion180

Data and Analytics Architect

Irving, TX · On-site

$61.25 - $78.75/hr

You will collaborate with data scientists, analysts, and business leaders to turn raw data into ... Data Architecture & Modeling * Design secure, scalable, and resilient data architectures using the ...

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact ... Mentor and uplift junior data scientists, setting standards for excellence Minimum Qualifications

Tekshapers Inc

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Collaborate with business stakeholders, data engineers, and data scientists to align architecture with organizational goals. * Implement scalable lakehouse solutions combining structured and ...

Vizient

Technical Project Manager (Data Science)

Irving, TX · On-site

$77K - $135K/yr

You will partner closely with Data Science leadership, business stakeholders, architects, engineers, and external vendors to deliver projects that support Vizient's strategic priorities and long-term ...

Cymertek Corporation

Big Data Architect

San Antonio, TX · On-site

$57.50 - $74/hr

Cymertek Corporation is looking for a skilled and innovative Big Data Architect to join their team ... Computer Science, Information Technology, Data Science, Software Engineering, Mathematics ...

Socket.dev

Data Scientist

Dallas, TX · On-site

$112.50 - $137.50/hr

Reporting, Programming, Predictive Modeling, and Solution Architect. Apply knowledge of machine learning techniques and algorithms. Apply experience with common data science toolkits from at least ...

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Data Science Architect information

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$10

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How much do data science architect jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science architect in Texas is $65.20, according to ZipRecruiter salary data. Most workers in this role earn between $57.12 and $73.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science architect, and why are they important?

To thrive as a Data Science Architect, you need deep expertise in data modeling, machine learning, statistical analysis, and a strong background in computer science or a related field. Familiarity with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure), and advanced programming languages (such as Python or Scala) is typically required, along with relevant certifications. Exceptional problem-solving, leadership, and communication skills help in designing solutions and collaborating across teams. These skills are crucial to building scalable analytics systems that drive business insights and support organizational goals.

How does a data science architect typically collaborate with cross-functional teams during a project?

A Data Science Architect often serves as a bridge between data scientists, engineers, and business stakeholders. They work closely with data engineers to design scalable data pipelines, partner with data scientists to ensure models are deployable, and communicate technical solutions to non-technical business leaders. Effective collaboration involves regular meetings, clear documentation, and aligning project goals across teams. This cross-functional approach ensures that data-driven solutions are both technically robust and tailored to business needs.

What is a data science architect?

A Data Science Architect is a senior professional who designs and oversees the architecture of data science solutions within an organization. They are responsible for creating the frameworks and infrastructure that allow data scientists and analysts to develop, deploy, and scale machine learning models and data analytics processes. Typically, they collaborate with stakeholders to understand business requirements, select appropriate technologies, and ensure that data pipelines and models are robust, secure, and efficient. Data Science Architects also play a vital role in integrating new data sources and technologies into existing systems, and often mentor other data professionals.
Data Science Architect jobs near you
Infographic showing various Data Science Architect job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,608 per year, or $65.2 per hour.

Principal Data Architect

HP Development Company, L.P.

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 13 days ago

Job description

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 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 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 Language)
  • Machine Learning
  • Microsoft Azure
  • Python (Programming Language)
  • Scala (Programming Language)
  • Scalability
  • SQL (Programming Language)

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

Impact & Scope
  • Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
  • Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • 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 (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
Shift 1, 0% premium (United States of America)
Travel -
No
Relocation -
No
Equal Opportunity Employer (EEO) -
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).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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