Purple Drive Technologies

119 Purple Drive Technologies Data Modeler Jobs Hiring Near You

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Proficiency in utilizing standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power ... business and technology organizations. Experience working in an Agile environment using Lean ...

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Overview: Data Modeling, Performance Tuning, Traditional Or Cloud ETL/ELT Tools. Job Responsibilities: Understand on how the data is flowing and derive transformational process Understand the ...

Sr Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

... technology Strong data troubleshooting skills - Oracle and MS SQL preferred Strong teamwork and problem-solving skills Experience with software development lifecycle Experience with Agile Scrum ...

Senior Data Engineer

Columbus, OH · On-site

$102.40K - $139.10K/yr

Troubleshoot production issues in Oracle and MS SQL Server environments and drive timely resolution ... Required Skills & Experience * 6-8 years of overall IT/data engineering experience. * Must have:

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Data Engineer Location: ONSITE- Columbus Total Exp: 6-8 Years Skills: Python, Py Spark, Snowflake We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data ...

Lead AI-ML Engineer

Westerville, OH · On-site

$98.80K - $130.10K/yr

... models for debit transaction anomaly detection using AI/ML techniques. • Perform data analysis ... technology stakeholders. Required Skills & Qualifications: • Bachelor's or Master's degree in ...

Snowflake Engineer

Dublin, OH · On-site

$110.30K - $132.50K/yr

The ideal candidate will have strong expertise in data modeling, ELT/ETL pipelines, SQL performance tuning , and cloud integration , enabling robust and efficient data processing for analytics and ...

Snowflake Developer

Dublin, OH · On-site

$47.50 - $65/hr

The ideal candidate will have strong SQL skills, expertise in data modeling, and experience integrating Snowflake with various data sources and BI tools. Key Responsibilities: * Design, develop, and ...

We are looking for an experienced and highly skilled Tech Lead Java Full Stack Developer with ... Drive architectural decisions enforce coding standards and review code to ensure high performance ...

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Purple Drive Technologies Jobs Information

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges Data Modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

What are Data Modelers?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What are the 4 types of data models?

Data modelers typically work with four main types of data models: conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models detail the data organization without physical considerations, physical models specify how data is stored in databases, and view models focus on specific user perspectives. Understanding these types helps data modelers design efficient and accurate database systems.

What jobs pay $3,000 a day?

High-paying roles such as senior data modelers, data architects, and specialized consultants can earn around $3,000 per day, especially with extensive experience, advanced certifications, and working in consulting or contract positions. These roles often require strong technical skills in data modeling, database design, and relevant tools like ERwin or PowerDesigner, and may involve project-based or freelance work with flexible schedules.
Infographic showing various Data Modeler job openings at Purple Drive Technologies in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

$53 - $68.50/hr

Full-time

Posted 23 days ago


Job description

Overview:
Role: Data Modeller
Total Exp: 8- 10 Years
Skills: Python, Data Concepts & Data Modelling, Erwin
Collaboration Effectiveness demonstrated skill working directly with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to elicit data requirements and design appropriate data models that align with business needs.
Translating current and future business requirements into conceptual, logical, and physical data model designs.
Proficiency in utilizing standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer, etc.).
Structured execution of data analysis, data profiling, and data mapping tasks.
Ensures referential integrity is maintained via data modeling design and data quality recommendations.
Ensures data governance practices are followed during model creation to support efforts such as data cataloging, taxonomy, data lineage, and data quality.
Designing data models for multiple distinct patterns (e.g. relational, dimensional, hybrid) associated with data warehouse, BI, and large data applications.
Creation of net new data models and extension of existing across multiple DBMS platforms (e.g. Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL).
Ability to understand and explain complex data integration and extraction transformation load processes.
Demonstrated experience identifying and resolving data model performance issues to optimize database performance and enhance overall system functionality.
Documenting and communicating data model designs and standards to ensure understanding and compliance with expectations for interoperability across the organization.
Fluency in Python, SQL, and Unix. High proficiency with generating complex SQL queries is required.
Version control of databases and metadata management tools (e.g. Git, Liquibase, etc.).
Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations.
Experience working in an Agile environment using Lean, Kanban and Scrum practices.
Insurance and Financial domain experience is highly desired.