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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 ...

Integer

Solutions Architect IV - Data Analytics

Plano, TX

$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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$166.5K

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How much do data analytics architect jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data analytics architect in Texas is $166,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,200.00 and $178,400.00 per year, depending on experience, location, and employer.

What is a data analytics architect?

A Data Analytics Architect designs and implements data infrastructure, ensuring efficient data processing, storage, and analysis to support business intelligence and decision-making. They work with data engineers, analysts, and stakeholders to create scalable data solutions and optimize system performance. Their role involves selecting technologies, defining data models, and ensuring data security and governance.

What are the key skills and qualifications needed to thrive as a data analytics architect?

A Data Analytics Architect requires strong expertise in data modeling, analytics platforms, and database management, often backed by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud services (AWS, Azure, Google Cloud), along with certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is highly beneficial. Excellent problem-solving skills, communication abilities, and the capacity to collaborate across multidisciplinary teams distinguish top performers. These competencies are vital for designing effective analytics solutions, ensuring data integrity, and translating business needs into actionable data strategies.

What are the typical career advancement opportunities for a data analytics architect?

Data Analytics Architects often find excellent career growth opportunities within organizations, as their expertise in designing data frameworks is highly valued. With experience, many progress to senior or principal architect roles, chief data officer positions, or transition into broader leadership roles in data engineering or analytics strategy. Continuous learning and staying updated with emerging technologies, such as machine learning platforms and cloud-based analytics, also open doors to specialized roles. Working in this position exposes professionals to both technical challenges and business strategy, setting a strong foundation for advancement.

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Data Analytics Architect jobs near you
Infographic showing various Data Analytics Architect job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $166,533 per year, or $80.1 per hour.

Senior Data Analytics Architect

Codinix Consulting Services

Southlake, TX • On-site

$120 - $150/hr

Other

Posted 8 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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