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Intern Data Analytics Architect Jobs in Texas (NOW HIRING)

Orion180

Data and Analytics Architect

Irving, TX · On-site

$61.25 - $78.75/hr

It also means evolving how we think about the role of a Data and Analytics Architect. The expectation isn't just technical execution. It's curiosity. Ownership. The ability to step into ambiguity ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Integer

Solutions Architect IV - Data Analytics

Plano, TX · On-site

$61 - $78.50/hr

... analyze and document business requirements, business processes, and technical specifications (including system architecture documentation) * Define and implement data architecture best practices ...

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Intern Data Analytics Architect information

What does an intern data analytics architect do?

An Intern Data Analytics Architect assists in designing, building, and maintaining data analytics systems and infrastructure under the guidance of senior data professionals. Their responsibilities often include supporting data modeling, helping to optimize data storage and retrieval, and collaborating with teams to ensure data solutions meet organizational needs. Interns may also help document workflows, test analytics tools, and learn about industry best practices. This role provides hands-on experience in data architecture and analytics, preparing interns for advanced roles in data science and engineering.

What kinds of projects and responsibilities can an intern data analytics architect expect to work on?

As an Intern Data Analytics Architect, you will typically assist in designing and implementing data models, supporting the development of ETL (Extract, Transform, Load) pipelines, and helping to optimize data storage solutions. You may collaborate closely with senior architects, data engineers, and business analysts to ensure that data structures align with company objectives and best practices. Interns often gain hands-on experience with cloud platforms, data visualization tools, and modern analytics frameworks, making this a valuable opportunity to build foundational skills for a career in data architecture.

What are the key skills and qualifications needed to thrive as an intern data analytics architect, and why are they important?

To thrive as an Intern Data Analytics Architect, you need a solid understanding of data modeling, analytical methods, and basic programming—often backed by coursework or a degree in computer science, information systems, or a related field. Familiarity with data analytics tools like SQL, Python, and visualization platforms such as Tableau or Power BI, along with cloud services (e.g., AWS or Azure), is typically required. Strong problem-solving abilities, attention to detail, and effective communication set standout candidates apart in collaborative, data-driven environments. These skills and qualities are essential for designing robust analytics solutions that turn complex data into actionable insights for organizational decision-making.

What is the difference between Intern Data Analytics Architect vs Data Analyst Intern?

AspectIntern Data Analytics ArchitectData Analyst Intern
Required CredentialsBasic knowledge of data architecture, SQL, and analytics toolsBasic understanding of data analysis, Excel, and visualization tools
Work EnvironmentAssists in designing data systems, working with data engineersSupports data analysis projects, creating reports and dashboards
Employer & Industry UsageUsed in tech, finance, and consulting firms focusing on data infrastructureCommon in marketing, finance, and business sectors for data insights

The Intern Data Analytics Architect role focuses on supporting the design and implementation of data systems, requiring knowledge of data architecture and analytics tools. In contrast, a Data Analyst Intern primarily analyzes data sets to generate reports and insights. Both roles are entry-level internships but differ in their focus—one on data infrastructure, the other on data interpretation.

Are data analytics architects in high demand?

Data analytics architects are in high demand due to the increasing reliance on data-driven decision-making across industries. They typically require strong skills in data modeling, cloud platforms, and analytics tools, making their expertise valuable in organizations seeking to optimize data infrastructure and insights.

What are the most commonly searched types of Data Analytics Architect jobs in Texas?

The most popular types of Data Analytics Architect jobs in Texas are:

What cities in Texas are hiring for Intern Data Analytics Architect jobs?

Cities in Texas with the most Intern Data Analytics Architect job openings:

Intern Data Analytics Architect jobs near you

Senior Data Analytics Architect

Southlake, TX • On-site

Codinix Consulting Services
See more jobs at Codinix Consulting Servicesexternal

$120 - $150/hr

Other

Posted 11 days ago

Job description

Location: Southlake, TX (100% Onsite)
Employment Type: Full-Time (FTE Only)

Job Overview

We are seeking a highly experienced Senior Data Analytics Architect to lead the design, development, and governance of enterprise-scale data architecture and analytics solutions. This role requires deep expertise in modern cloud data platforms, particularly Google Cloud Platform (GCP), with a strong focus on BigQuery, data warehousing, and enterprise data strategy. The ideal candidate will provide architectural leadership, define data roadmaps, and enable scalable, secure, and high-performance data ecosystems that support advanced analytics and business decision-making.

Key Responsibilities
  • Define and drive enterprise-wide data architecture strategy, roadmap, and governance frameworks across the organization.
  • Design and implement scalable data warehouse and analytics solutions supporting complex business requirements.
  • Lead end-to-end architecture of modern data ecosystems using Google Cloud Platform (GCP) services, with deep expertise in BigQuery.
  • Architect and optimize data pipelines using Informatica IDMC and related data integration tools.
  • Develop and optimize complex SQL queries and Python-based data processing workflows for analytics and transformation.
  • Provide technical leadership and guidance to development and production support teams on data engineering best practices.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions and analytics capabilities.
  • Ensure data solutions align with enterprise standards for performance, scalability, security, and compliance.
  • Evaluate and implement modern data architecture patterns, including cloud-native and AI/ML-ready data platforms.
  • Drive data quality, governance, and metadata management practices across enterprise systems.
Mandatory Skills & Qualifications
  • 15+ years of experience in Data Architecture, Data Analytics, Data Governance, and Data Warehousing with strong architectural leadership.
  • Proven experience defining and executing enterprise data strategies and roadmaps.
  • Strong hands-on experience with Google Cloud Platform (GCP), especially BigQuery.
  • Expertise in Informatica IDMC for data integration and management.
  • Advanced proficiency in complex SQL and Python for data engineering and analytics.
  • Experience designing and implementing enterprise data warehouse and analytics solutions.
  • Ability to support both development and production data systems.
  • Strong stakeholder management, communication, and business-facing skills.
  • GCP Certification required (Professional Data Engineer or Cloud Architect).
Good to Have Skills
  • Experience with GCP Pub/Sub and Cloud Composer for data orchestration and streaming pipelines.
  • Exposure to AI/ML-ready data architecture design and enabling machine learning workloads.
  • Experience with BigQuery data modeling and Enterprise Data Catalog (EDC) tools.
  • Strong understanding of cloud cost optimization strategies.
  • Prior consulting experience or exposure to large-scale enterprise environments.
  • Knowledge of security, privacy, and compliance frameworks in enterprise data platforms.
Soft Skills
  • Strong analytical and problem-solving mindset
  • Excellent communication and stakeholder engagement abilities
  • Ability to influence architectural decisions across multiple teams
  • Strong leadership in guiding technical teams and driving enterprise alignment
  • Comfortable working in a high-responsibility, onsite enterprise environment
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