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Data Organization Jobs in Texas (NOW HIRING)

As our organization is implementing a data modernization program along with data and digital strategies, the Cloud Data Manager will play a key role in providing input and influence in our journey ...

Data Engineer

Austin, TX · On-site

$125K - $140K/yr

Drive Agile development supporting organization priorities and innovation. * Collaborate with analysts, and other stakeholders to understand data requirements and deliver tailored solutions. * Design ...

Data Engineer

Austin, TX

$113K - $136K/yr

Drive Agile development supporting organization priorities and innovation. * Collaborate with analysts, and other stakeholders to understand data requirements and deliver tailored solutions. * Design ...

Data Engineer

Austin, TX · On-site

$140 - $180/hr

Drive Agile development supporting organization priorities and innovation. * Collaborate with analysts, and other stakeholders to understand data requirements and deliver tailored solutions. * Design ...

New

... data organization Qualifications : Required : • 7+ years experience in Data Engineering, DataOps, or Data Platform Operations • 3+ years experience operating cloud-based data platforms in ...

Senior Lead Data Scientist

Austin, TX · On-site

$204K - $226K/yr

You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. Responsibilities: * Lead the ...

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Director of Data (Remote)

Austin, TX · On-site

$180 - $280/hr

If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed -- this is the rare role where your work ...

Mentor engineers and help raise the operational maturity of the data organization Required Knowledge, Skills, and Abilities: * 7+ years experience in Data Engineering, DataOps, or Data Platform ...

Mentor engineers and help raise the operational maturity of the data organization Required Knowledge, Skills, and Abilities: * 7+ years experience in Data Engineering, DataOps, or Data Platform ...

If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed - this is the rare role where your work ...

Showing results 21-40

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 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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NAVA Software solutions is looking for a Cloud Data Manager
Details:
Cloud Data Manager
Location: Houston TX - 3 days/week onsite
Duration: Full time /Direct Hire
Seeking an experienced Cloud Data Manager to join our team responsible for leading the design and development of data as a product, in line with the company's data strategy. The primary objective of the role is to bring together foundational components of data ecosystems to provide solutions that improve the architecture, quality and fidelity of the data consumed by business processes and analytics use cases.
The Cloud Data Manager will also lead strategic aspects of the data strategy and be responsible for the operational aspects of data management, especially regarding product development, decision-making, and team operations/development.
The Cloud Data Manager will lead a team of data analysts, responsible for implementing data projects while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data. As our organization is implementing a data modernization program along with data and digital
strategies, the Cloud Data Manager will play a key role in providing input and influence in our journey towards a strategic data organization. This role also requires a strong and current technology focus, hands-on practical design architecture experience, experience with integration and implementation of digital/ cloud technology and excellent written and communications skills.
Duties & Responsibilities
  • Responsible for evaluating new Data Management capabilities and technologies to drive business results and innovation to propel the organization's Data and Digital strategies
  • Accountable for building an integrated data foundation that connects cross-functional data across the life cycles of our assets to provide a 360-degree view of data to deliver insights and predictions
  • Responsible for conducting a comprehensive evaluation of the current data landscape to identify potential gaps in data management capabilities and formulate a roadmap for enhancement
  • Accountable for the operationalization of new Data Management capabilities and tools and ensuring seamless integration with existing systems and processes (e.g. security, scalability, performance, reliability, FinOps, recovery etc.)
  • Responsible for creating enterprise blueprint that tie together our business processes and workflows with data in a cohesive way that strengthens our capabilities, accelerates delivery, and promotes innovation
  • Develop and evaluate design options to ingest and catalog real-time, structured, and unstructured data sets into Data Management environment per business priorities and use cases
  • Provide input and influence teams focused on the data modernization and next generation data capabilities
  • Build and maintain reference architecture, design patterns, decision matrices, common information model and frameworks that drive operational efficiencies
  • Participates in risk review process and Architecture Review board to ensure data projects align with the organization's risk management and architecture standards
  • Ensure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systems
  • Proactively identify opportunities for automation and continuous improvements
  • Stays current with the latest trends, technologies, and best practices in data management, governance, and architecture
  • Collaborate with cross-functional teams to ensure alignment between data architecture and overall IT and business strategies
  • Ensure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systems
  • Expertise in optimizing queries and performance by establishing standards to minimize system workload and costs

Experience:
  • 5 or more years of experience with Cloud Platforms and Data Lake implementation to enable Data Science and Analytics capability
  • 5 or more years of experience in data architecture, and data management in an enterprise environment
  • 1 or more years of experience in designing, scaling and implementing data lake platform
  • 1 or more years of experience designing and implementing data ingestion techniques for real-time and batch processes into cloud based platforms

Knowledge and Skills:
  • Advanced knowledge of Data Management principles, processes and data lifecycle
  • Advanced level of proficiency in DevOps, including Agile development process, containers, and source code control systems
  • Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
  • Ability to take ownership, engage, lead change, achieve results, adapt, problem solve, manage risk and drive tasks to completion
  • Ability to lead initiatives, multidisciplinary project teams, and influence stakeholder buy-in
  • Participate in strategy and planning sessions and be recognized as a capable team member that delivers value
  • Excellent oral and written communication skills; proven ability to represent point of view and discuss technical information with the business users in business language
  • Team player, and self-driven individual who can multitask, work independently under minimal supervision and deliver on commitments
  • Excellent analytical mind and proven problem-solving skills
  • Demonstrated leadership and people skills, with ability to engage at all levels of the organization
  • Confident in engaging all levels of the organization in communicating a data strategy
  • Ability to influence others and drive change around data standards and best practices
  • Delivers positive results through realistic planning to accomplish goals
  • Builds positive relationships based on trust and seeks collaboration across organizational boundaries to achieve goals

Education:
Bachelor's degree or higher in Computer Science, Engineering, Information Technology, Information Systems, related field, or foreign equivalent

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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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