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Data Organization Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... data organization • Ability to design curated data models optimized for analytics and BI consumption • Hands-on experience with AWS • Expertise in Kubernetes and Kubeflow (or similar ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... data organization • Ability to design curated data models optimized for analytics and BI consumption • Hands-on experience with AWS • Expertise in Kubernetes and Kubeflow (or similar ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... data organization • Ability to design curated data models optimized for analytics and BI consumption • Hands-on experience with AWS • Expertise in Kubernetes and Kubeflow (or similar ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... data organization • Ability to design curated data models optimized for analytics and BI consumption • Hands-on experience with AWS • Expertise in Kubernetes and Kubeflow (or similar ...

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

... organization, storage, and processing. • Lead and mentor a team of data engineers and data scientists. • Provide technical guidance and support to ensure the team's success. • Oversee the ...

Identify, compile, analyze, and deliver data and reports needed across the organization * Collect, analyze, and interpret internal and external data to support business decisions * Develop, maintain ...

Data Analyst

Austin, TX · On-site

$75K/yr

Identify, compile, analyze, and deliver data and reports needed across the organization * Collect, analyze, and interpret internal and external data to support business decisions * Develop, maintain ...

Palantir Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Responsibilities : • Quickly come up to speed on the current data organization of the product, converting that data model into a Palantir Ontology representation • Give suggestions and ...

VP, Enterprise Data

Dallas, TX · On-site

$177.82 - $308.23/hr

Team Leadership & Organizational Development*** Report to the Head of Technology and provide executive leadership over the Enterprise Data organization, including Directors of Data Product and Data ...

WhatYou'llDo Team Leadership & Organizational Development * Report to the Head of Technology and provide executive leadership over the Enterprise Data organization, including Directors of Data ...

Dallas, TX Duration: 6+ Month Contract About the Role We are seeking an experienced Data Management Manager to lead a large-scale data organization responsible for enterprise data platforms ...

Chief Engineer, Global Data

Austin, TX · On-site +1

$208K - $255K/yr

About The Role We are looking for a Chief Engineer, Global Data to serve as a senior technical leader for our Global Data organization. This role will partner directly with Global Data leadership to ...

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Data Organization information

What is a data organization?

A Data Organization job involves structuring, managing, and maintaining data to ensure its accuracy, accessibility, and usability. Professionals in this role work with databases, metadata, and data governance practices to optimize information flow and retrieval. They may also clean, categorize, and integrate data from various sources to support business operations and decision-making. Strong analytical skills, attention to detail, and proficiency with data management tools are essential for success in this role.

What are some typical responsibilities I can expect in a data organization position?

In a Data Organization role, you will typically be responsible for structuring, maintaining, and ensuring the accuracy and integrity of large datasets. This often includes tasks such as data cleansing, standardizing formats, updating records, and organizing information to support business analysis or reporting needs. You may also work closely with cross-functional teams, providing data support, troubleshooting data issues, and helping to implement data governance policies. These responsibilities are essential to keep organizational data reliable and easily accessible for those who need it.

What are the key skills and qualifications needed to thrive in a data organization position, and why are they important?

To thrive in a Data Organization role, you need strong analytical skills, attention to detail, and experience with data management practices, typically supported by a degree in information science, computer science, or a related field. Familiarity with database software such as SQL, data visualization tools, and proficiency in Excel or data management platforms are commonly required, while certifications like Certified Data Management Professional (CDMP) can be advantageous. Excellent organizational, problem-solving, and communication skills help facilitate effective collaboration across teams and ensure data quality. These skills are crucial for maintaining accurate, accessible, and secure data, directly impacting business decision-making and operational efficiency.

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

The most popular types of Data Organization jobs in Texas are:

What are popular job titles related to Data Organization jobs in Texas?

For Data Organization jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Organization jobs in Texas look for?

The top searched job categories for Data Organization jobs in Texas are:

What cities in Texas are hiring for Data Organization jobs?

Cities in Texas with the most Data Organization job openings:

Infographic showing various Data Organization job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Data Architect | Richardson | AWS

Motion Recruitment Partners, LLC

Richardson, TX • On-site

$58 - $74.50/hr

Other

Posted 5 days ago


Job description

We are seeking a Senior Data Architect to help drive the next generation of enterprise data capabilities within a rapidly growing, newly centralized data organization. This role will play a key part in designing and implementing modern data architectures, data products, and strategic roadmaps that support enterprise-wide analytics, reporting, and AI initiatives.
In this highly visible position, you will partner directly with business leaders, engineering teams, and data stakeholders to define data strategy, architect scalable solutions, and establish best practices across a modern AWS and Snowflake ecosystem. This is an opportunity to influence the future-state data platform from the ground up within a highly collaborative and strategic environment.
Required Skills & Experience
  • Strong experience designing enterprise Data Architectures, Data Warehouses, and scalable cloud-based data platforms
  • Deep expertise with AWS and Snowflake, including warehouse sizing, clustering, partitioning, and performance optimization
  • Experience developing data roadmaps, architecture standards, and long-term data strategies
  • Strong understanding of data ingestion patterns, data integration frameworks, and modern data engineering practices
Desired Skills & Experience
  • Experience with AI-enabled data architectures and emerging AI technologies
  • Knowledge of RAG (Retrieval-Augmented Generation), Vector Databases, MCP, and Large Language Models (LLMs)
  • Experience building data products and supporting advanced analytics initiatives
  • Financial services, banking, or regulated industry experience
What You Will Be Doing
  • Design and implement enterprise data architectures leveraging AWS and Snowflake
  • Define data platform strategy, roadmaps, and best practices in partnership with business and technology leaders
  • Architect scalable data ingestion, storage, governance, and analytics solutions
  • Evaluate and incorporate emerging AI technologies and data products into the organization's long-term vision
Applicants must be currently authorized to work in the US on a full-time basis now and in the future