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Senior Data Modeler Jobs in Manvel, TX (NOW HIRING)

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Senior Data Engineer Location: Houston, TX (Onsite/Hybrid - Based on Client Requirements ... Data Modeling & Data Warehouse/Lakehouse Design * ETL/ELT Development * Informatica * dbt * Apache ...

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland ... Develop and maintain reporting and analytics solutions - semantic data models, dashboards, and ...

Senior Data Scientist - AI & Customer Operations Analytics Location: Houston, TX 4 days onsite ... Design, train, and deploy predictive models (classification, forecasting, anomaly detection). Build ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Design and maintain scalable data models for Data Warehouse and Data Lake environments (star ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Design and maintain scalable data models for Data Warehouse and Data Lake environments (star ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Design and maintain scalable data models for Data Warehouse and Data Lake environments (star ...

Senior Data Architect

Houston, TX · On-site

$60.75 - $81.50/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Able to design entity-relationship models for complex enterprise data and use data modelling tools ...

Sr. Data Analyst

Katy, TX · On-site

$74K - $93K/yr

With that data understanding, the role builds data models and data visualizations to provide accurate and consistent information for operational and executive decision making. As a senior level role ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data ... Data Modeling & Warehouse Design * Designs dimensional models (star schema, fact and dimension ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance;

Senior Data Scientists at Corva operate with a high degree of autonomy, influence technical ... What you'll do Advanced Modeling & Research * Design, develop, and deploy advanced machine learning ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Quanex is a global manufacturing company seeking a Senior Data Engineer to join their team in ... modeling, and consumption. • Develop and optimize complex SQL queries, stored procedures, and ...

Sr. Data Engineer

Houston, TX · On-site

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n ... data models) \n \n \n \-Information security \n \n \n \-Software engineering tools and ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Ensure models are production-ready, robust, and maintainable with appropriate monitoring and ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Ensure models are production-ready, robust, and maintainable with appropriate monitoring and ...

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Showing results 1-20

Senior Data Modeler information

See Manvel, TX salary details

$33

$63

$79

How much do senior data modeler jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for senior data modeler in Manvel, TX is $63.60, according to ZipRecruiter salary data. Most workers in this role earn between $56.30 and $72.16 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

Senior Data Modelers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL and Python can reach annual salaries of $300,000 or more, especially in high-demand industries such as finance or technology. Such roles often require advanced degrees, certifications, and a strong track record of managing complex data systems.

What does a Senior Data Modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

How much does a data modeler make?

A senior data modeler typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. They often require strong skills in data architecture, modeling tools, and database management systems. Compensation may also include benefits and opportunities for professional development.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data modeler or entering data science, as skills and experience are more important. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, often through online courses or certifications. Continuous learning and practical experience are key factors for career advancement regardless of age.

How does a Senior Data Modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but senior data modelers are essential for designing complex data structures, ensuring data quality, and making strategic decisions. Human expertise remains critical for interpreting business needs and validating models, making complete replacement unlikely in the near term.

What are the key skills and qualifications needed to thrive as a Senior Data Modeler, and why are they important?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.
What cities near Manvel, TX are hiring for Senior Data Modeler jobs? Cities near Manvel, TX with the most Senior Data Modeler job openings:
Data Modeling & Data Governance Senior Consultant - Global Employer Services Technology

Data Modeling & Data Governance Senior Consultant - Global Employer Services Technology

Deloitte

Houston, TX

Other

Posted 27 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services


Job description

Deloitte Tax LLP is seeking a Senior, Tax Technology Services to support technology-enabled solutions within our Global Employer Services practice. In this role, you will help clients address compliance obligations tied to global mobility, business travel, and remote working arrangements. The role blends tax, workforce, process, and technology experience to support practical, scalable solutions for multinational organizations.

Work you'll do

As a Senior, Tax Technology Services on the Global Employer Services Technology Group team, you will be responsible for...

  • Supporting the design, implementation, and enhancement of technology-enabled solutions for global mobility, business travel, and remote work compliance programs
  • Gathering, documenting, and translating business requirements into functional needs for digital tools, workflows, and reporting solutions
  • Coordinating with client stakeholders, internal tax professionals, and technology teams to support delivery of project milestones and work products
  • Analyzing workforce, compliance, and process data to identify issues, support reporting, and improve operational efficiency
  • Assisting with testing, issue resolution, process documentation, and deployment activities for new and updated technology solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations.

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week
  • Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
  • 3+ years of relevant experience in data management consulting or industry roles, with focus in data governance, data modeling, data standards, metadata, and data quality, plus hands-on data modeling experience including conceptual, logical, and physical models as well as applying data modeling techniques (entity-relationship, star/snowflake schemas, and 3rd normal form)
  • Demonstrated experience using data modeling tools such as Erwin, Lucid or Visio
  • Demonstrated experience in data governance work including data definitions, standards, metadata, lineage, data quality, stewardship and ownership
  • Demonstrated experience leading workstreams for data management engagements with teams distributed across multiple locations, including and facilitating cross-functional workshops with business stakeholders, technology and architecture teams to gather requirements and define data models
  • Experience gathering business requirements and documenting workflows, functional needs, or user stories
  • Experience supporting testing, issue tracking, and deployment activities for technology solutions
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.
  • One of the following active accreditations obtained, in process, or willing and able to obtain:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed Attorney
      • Enrolled Agent
      • Technology Certifications:
        • Data management and enterprise architecture (DAMA, CDMP, TOGAF)
        • Data platform specialist (Databricks Data Engineer Associate/Professional, SnowPro Core and SnowPro Advanced Architecture for Snowflake)
        • Cloud Architecture (AWS Certified Solutions Architect Associate/Professional)
        • Generative AI (AWS AI Practitioner, AWS Generative AI Developer Professional, NVIDIA Generative AI LLMs and Databricks Generative AI Associate)
        • Agentic AI (NVIDIA Certified Professional: Agentic AI LLMs
        • Relevant industry certification such as Project Management (PMP)
        • Six Sigma (Black Belt)

Preferred:

  • Experience with data governance disciplines such as metadata management, lineage, stewardship, data quality, and policy management.
  • Demonstrated experience with metadata management and data lineage tools.
  • Experience with defining semantic layers for analytics and agentic AI use cases. 
  • Hands on experience with Data Management and Data Engineering
  • Strong understanding of security, privacy, and compliance considerations in data environments.
  • Exposure to defining and implementing data products within data catalog and marketplace.
  • Exposure to cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake)
  • Experience influencing cross-functional stakeholders and leading enterprise-wide initiatives.
  • Proven ability to lead, motivate, and develop a team of data professionals.
  • Strong analytical and problem-solving skills.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000.


Qualifications:

Deloitte Tax LLP is seeking a Senior, Tax Technology Services to support technology-enabled solutions within our Global Employer Services practice. In this role, you will help clients address compliance obligations tied to global mobility, business travel, and remote working arrangements. The role blends tax, workforce, process, and technology experience to support practical, scalable solutions for multinational organizations.

Work you'll do

As a Senior, Tax Technology Services on the Global Employer Services Technology Group team, you will be responsible for...

  • Supporting the design, implementation, and enhancement of technology-enabled solutions for global mobility, business travel, and remote work compliance programs
  • Gathering, documenting, and translating business requirements into functional needs for digital tools, workflows, and reporting solutions
  • Coordinating with client stakeholders, internal tax professionals, and technology teams to support delivery of project milestones and work products
  • Analyzing workforce, compliance, and process data to identify issues, support reporting, and improve operational efficiency
  • Assisting with testing, issue resolution, process documentation, and deployment activities for new and updated technology solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations.

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week
  • Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
  • 3+ years of relevant experience in data management consulting or industry roles, with focus in data governance, data modeling, data standards, metadata, and data quality, plus hands-on data modeling experience including conceptual, logical, and physical models as well as applying data modeling techniques (entity-relationship, star/snowflake schemas, and 3rd normal form)
  • Demonstrated experience using data modeling tools such as Erwin, Lucid or Visio
  • Demonstrated experience in data governance work including data definitions, standards, metadata, lineage, data quality, stewardship and ownership
  • Demonstrated experience leading workstreams for data management engagements with teams distributed across multiple locations, including and facilitating cross-functional workshops with business stakeholders, technology and architecture teams to gather requirements and define data models
  • Experience gathering business requirements and documenting workflows, functional needs, or user stories
  • Experience supporting testing, issue tracking, and deployment activities for technology solutions
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.
  • One of the following active accreditations obtained, in process, or willing and able to obtain:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed Attorney
      • Enrolled Agent
      • Technology Certifications:
        • Data management and enterprise architecture (DAMA, CDMP, TOGAF)
        • Data platform specialist (Databricks Data Engineer Associate/Professional, SnowPro Core and SnowPro Advanced Architecture for Snowflake)
        • Cloud Architecture (AWS Certified Solutions Architect Associate/Professional)
        • Generative AI (AWS AI Practitioner, AWS Generative AI Developer Professional, NVIDIA Generative AI LLMs and Databricks Generative AI Associate)
        • Agentic AI (NVIDIA Certified Professional: Agentic AI LLMs
        • Relevant industry certification such as Project Management (PMP)
        • Six Sigma (Black Belt)

Preferred:

  • Experience with data governance disciplines such as metadata management, lineage, stewardship, data quality, and policy management.
  • Demonstrated experience with metadata management and data lineage tools.
  • Experience with defining semantic layers for analytics and agentic AI use cases. 
  • Hands on experience with Data Management and Data Engineering
  • Strong understanding of security, privacy, and compliance considerations in data environments.
  • Exposure to defining and implementing data products within data catalog and marketplace.
  • Exposure to cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake)
  • Experience influencing cross-functional stakeholders and leading enterprise-wide initiatives.
  • Proven ability to lead, motivate, and develop a team of data professionals.
  • Strong analytical and problem-solving skills.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000.


Education:Bachelor's DegreeEmployment Type:

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