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Technical Data Designer Jobs (NOW HIRING)

Elco Lighting

Be Seen First

Graphics Designer

Vernon, CA · On-site

$20 - $25/hr

We are looking for a Catalog Designer to join our team. This role is focused on building high ... Work with Product Managers to turn technical data and photometrics into clear tables and charts.

Project Stitch

Technical Designer

Lithia Springs, GA · On-site

$15 - $30/hr

Technical designers work in the fashion industry and take garments from concept to shelf-ready ... Conduct team meetings and provide guidance to programmers and data managers. * Assign tasks and ...

Project Stitch

Technical Designer

Lithia Springs, GA · On-site

$15 - $30/hr

Technical designers work in the fashion industry and take garments from concept to shelf-ready ... Conduct team meetings and provide guidance to programmers and data managers. * Assign tasks and ...

Xforia, Inc.

Data Steward

... Technical and business data cataloging o Logical data modeling, including experience designing logical data models o ETL/ELT tools such as Apache Airflow o Data dictionary development • Bring ...

Long Wave, Inc.

Senior Graphic Designer

Oklahoma City, OK · On-site

$59K - $82K/yr

This role is ideal for a seasoned designer who thrives in structured, technical environments and ... Collaborate with engineering, technical publications, and product teams to interpret technical data ...

No Limit Technology

Data Modeler

Richmond, VA

$53.50 - $69.50/hr

Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively \n * Leverage Databricks for ...

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Technical Data Designer information

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$35.5K

$80.3K

$126K

How much do technical data designer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for technical data designer in the United States is $80,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $92,000.00 per year, depending on experience, location, and employer.

What is a Technical Data Designer?

A Technical Data Designer is a professional who specializes in creating, structuring, and optimizing data models and architectures to support business processes and technology solutions. They work closely with data engineers, analysts, and other stakeholders to ensure that data is organized, accessible, and secure. Their responsibilities often include designing databases, defining data flows, and implementing best practices for data management. Technical Data Designers play a crucial role in enabling organizations to make data-driven decisions and maintain data integrity.

How does a Technical Data Designer typically collaborate with cross-functional teams during a data project?

Technical Data Designers often work closely with data engineers, business analysts, and software developers to ensure data models and structures align with business goals and technical requirements. They translate business needs into data solutions, participate in design reviews, and provide guidance on data standards. Effective communication and collaboration are crucial, as they frequently gather requirements, present data designs, and adjust models based on stakeholder feedback. This collaborative approach helps create robust, scalable data systems that support organizational objectives.

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

To thrive as a Technical Data Designer, you need strong analytical abilities, data modeling expertise, and a background in computer science or information systems. Familiarity with database technologies (such as SQL, NoSQL), data visualization tools, and experience with data integration platforms or ETL processes are typically required. Attention to detail, problem-solving, and effective communication distinguish top performers in this role. These skills ensure accurate data architectures, clear data flows, and robust solutions that support informed business decisions.

What is the difference between Technical Data Designer vs Data Analyst?

AspectTechnical Data DesignerData Analyst
Required SkillsData modeling, database design, technical documentationData interpretation, reporting, statistical analysis
Work EnvironmentDesigning data structures, collaborating with IT teamsAnalyzing data sets, creating reports for business decisions
CertificationsSQL, data modeling certifications, sometimes data managementExcel, SQL, data analysis certifications

The Technical Data Designer primarily focuses on creating and managing data structures and models, working closely with IT teams. In contrast, Data Analysts interpret data, generate reports, and support business insights. While both roles require technical skills like SQL, their core responsibilities differ, making each role unique in the data management ecosystem.

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

For a Technical Data Designer, earning $300,000 annually typically requires extensive experience, advanced skills in data modeling and visualization, and often leadership responsibilities. Such high salaries are more common in senior or specialized roles within large organizations or consulting firms, especially those involving complex data systems or strategic decision-making. Compensation varies based on industry, location, and individual expertise.

What jobs will boom in 2026?

The demand for data-related roles such as Technical Data Designers, data analysts, and data engineers is expected to grow significantly by 2026 due to increasing reliance on data-driven decision-making. Skills in data visualization, database management, and proficiency with tools like SQL and Python will be highly valuable in this expanding field.

Which 3 jobs will survive AI?

For a Technical Data Designer, roles that require complex problem-solving, creativity, and domain-specific expertise are more likely to persist alongside AI advancements. These include data architects, AI specialists, and data governance professionals, as they involve strategic planning, ethical considerations, and specialized knowledge that are difficult for AI to fully replicate. Continuous learning and certification in emerging tools can also help maintain job relevance.

What jobs pay 200,000 a year in the USA?

In the USA, roles such as senior data scientists, data engineers, and technical data designers with extensive experience and advanced skills can earn $200,000 or more annually. High-paying positions often require specialized knowledge of data management tools, programming languages, and certifications, and may be found in industries like technology, finance, and consulting.
More about Technical Data Designer jobs
What job categories do people searching Technical Data Designer jobs look for? The top searched job categories for Technical Data Designer jobs are:
Technical Data Designer jobs near you
Infographic showing various Technical Data Designer job openings in the United States as of June 2026, with employment types broken down into 17% Full Time, 66% Part Time, and 17% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,265 per year, or $38.6 per hour.

Python Technical Lead - Data Analysis

Yochana

Phoenix, AZ • On-site

Other

Posted 25 days ago

Job description

Job Details:
  • Digital Workplace (DW) enables all American Express colleagues to do exceptional work in a complex, dynamic, and evolving environment.
  • You will work within our TechCare Operations: Blueprint team, partnering closely with database engineering, application, and infrastructure teams to ensure the reliability, performance, and security of enterprise database platforms.
  • You will support mission-critical systems and help drive database strategy, standards, and operational excellence.
  • Critical Focus Areas Administer, maintain, and optimize enterprise database systems to ensure high availability and performance Monitor database health, troubleshoot issues, and resolve incidents in a timely manner Implement database backup, recovery, and disaster recovery strategies Ensure data integrity, security, and compliance with enterprise standards Support capacity planning, performance tuning, and scalability initiatives Collaborate with engineering teams to support application deployments and database changes
Key Responsibilities
Manage and support database platforms (e.g., DB2 z/OS, Oracle, SQL Server, PostgreSQL, Netezza) across development, test, and production environments Perform database installation, configuration, patching, and upgrades Monitor database performance and proactively tune queries, indexes, and configurations Implement and maintain backup, recovery, and high-availability solutions (e.g., replication, clustering) Troubleshoot database-related incidents, perform root cause analysis, and implement preventive measures Partner with application and product teams to review database designs and ensure optimal data structures Enforce database security standards, including access controls, encryption, and auditing Automate routine DBA tasks using scripting languages (e.g., Python, Shell, PowerShell) Document database configurations, processes, and operational procedures Support data migrations, releases, and environment refreshes Participate in on-call support rotations and incident response Education & Experience Database administration experience in a professional environment and/or comparable experience such as: Experience administering one or more database platforms (e.g., DB2 z/OS, Oracle, SQL Server, PostgreSQL, Netezza) Familiarity with database backup/recovery, high availability, and disaster recovery concepts Experience with performance tuning and query optimization Experience with scripting/automation (Shell, Python, PowerShell, etc.) Familiarity with Agile or other rapid application development methodologies Understanding of distributed systems and multi-tier architectures Bachelor's degree in computer science, engineering, or related field required; advanced degree preferred
Preferred Qualifications
  • Experience with database monitoring and observability tools Knowledge of cloud database platforms (AWS RDS, Azure SQL, etc.)
  • Experience with data modeling and database design principles Familiarity with NoSQL databases and big data platforms High-Performing Behaviors Proactively identifies and resolves database performance and reliability issues Challenges the status quo and drives continuous improvement in database operations Stays current with database technologies, tools, and industry trends Communicates clearly with technical and non-technical stakeholders Collaborates effectively across teams to achieve shared objectives Demonstrates ownership, accountability, and strong problem-solving skills Adapts quickly to changing priorities and operational needs Knowledge

Skills
Strong understanding of database administration concepts (backup/recovery, performance tuning, security, and availability) Ability to analyze and resolve complex database issues Knowledge of data structures, indexing strategies, and query optimization Understanding of metadata management and database architecture

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