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Hourly Data Analytics Architect Jobs (NOW HIRING)

Big Data & Analytics Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

... Data & Analytics Ability to frame architectural decisions, provide technology leadership & direction Excellent problem solving, hands-on engineering skills and communication skills Additional ...

We are hiring Analytics Architect to join our Digital Engineering team. About Us: For the past 20 ... The role involves managing a team of data analysts, developing data strategies, and providing ...

New

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Assistant Professor Position Summary: Center for Solar Terrestrial Research (CSTR) of the New Jersey Institute of Technology (NJIT) in ...

Director of Data & Analytics Direct Reports: Health Information Technologists and Health Data Analysts Summary of Position The Lead Analytics Architect is responsible for leading the design ...

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How much do hourly data analytics architect jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for hourly data analytics architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

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Infographic showing various Hourly Data Analytics Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Senior Data Analytics Architect

Codinix Consulting Services

Southlake, TX • On-site

$120 - $150/hr

Other

Posted 2 days ago

New


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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