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Data Mapping Jobs in Ohio (NOW HIRING)

Data Architect

Cleveland, OH ยท On-site +1

$61.75 - $79.50/hr

Lead Data Mapping & Migration: Own the comprehensive source-to-target data mapping, transformation logic, and lineage tracking required to migrate legacy Siebel data into Salesforce and Snowflake.

Data Architect

Cleveland, OH ยท On-site

$61.75 - $79.50/hr

Lead Data Mapping & Migration: Own the comprehensive source-to-target data mapping, transformation logic, and lineage tracking required to migrate legacy Siebel data into Salesforce and Snowflake.

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an experienced Sr. Data Analyst with at least 5+ years of experience. An ideal candidate will have ...

Data Modeler

Columbus, OH ยท On-site

$53 - $68.50/hr

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 ...

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an experienced Sr. Data Analyst with at least 5+ years of experience. An ideal candidate will have ...

They will also have a strong background in data management, including data flows, data mapping and data manipulation. Experience in using standard Agile software delivery tools, such as Jira, is ...

... of data mapping and data dictionaries Relational database modeling concepts and practices SAS experience preferred Communication skills both written and verbal Ability to work independently and ...

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

... of data mapping and data dictionaries Relational database modeling concepts and practices SAS experience preferred Communication skills both written and verbal Ability to work independently and ...

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

Expert knowledge of data mapping and data dictionaries * Relational database modeling concepts and practices * SAS experience preferred * Communication skills both written and verbal * Ability to ...

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

... of data mapping and data dictionaries Relational database modeling concepts and practices SAS experience preferred Communication skills both written and verbal Ability to work independently and ...

Senior Data Engineer

Blue Ash, OH

$97K - $132K/yr

ASAP Project agile scrum practices, joining a warehouse data engineering team warehouse data domain, Implementing Manhattan which is a 2-5 year project, Data mapping to set up data domain Hiring ...

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Showing results 1-20

Data Mapping information

See Ohio salary details

$7

$32

$65

How much do data mapping jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data mapping in Ohio is $32.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.12 and $43.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Mapping position, and why are they important?

To excel in Data Mapping, you need a solid understanding of data structures, database management, and data migration methodologies, often backed by a degree in computer science or information systems. Familiarity with ETL tools, data mapping software (such as Informatica or Talend), and relevant certifications like CDMP are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart. These competencies are vital to ensure accurate, efficient mapping of complex data between systems, minimizing errors and supporting organizational data initiatives.

What is the highest salary for mapping process?

The highest salaries for data mapping roles can reach over $100,000 annually, especially for experienced professionals working in specialized industries or with advanced skills in data integration tools. Senior data analysts or data engineers with expertise in mapping processes and certifications may earn higher compensation, often supplemented by bonuses or benefits.

What does a Data Mapping job involve?

A Data Mapping job involves identifying, organizing, and transforming data from one format or system to another while ensuring accuracy and consistency. Professionals in this role analyze data structures, create mapping documentation, and work closely with developers and analysts to support data integration, migration, or transformation projects. Strong attention to detail and knowledge of data formats, databases, and ETL (Extract, Transform, Load) processes are essential.

What skills are needed for data mapping?

Data mapping requires strong analytical skills to understand data structures and relationships, attention to detail to ensure accuracy, and proficiency with data management tools such as Excel, SQL, or specialized mapping software. Knowledge of data standards, data quality principles, and basic programming skills can also enhance effectiveness in this role.

What are data mapping jobs?

Data mapping jobs involve creating connections between different data formats, systems, or databases to ensure accurate data transfer and integration. These roles typically require knowledge of data structures, data management tools, and sometimes scripting or programming skills to develop and maintain data transformation processes.

Is data analyst a high paying job?

Data analyst roles are generally considered to offer competitive salaries, especially with experience, technical skills in tools like Excel, SQL, and data visualization software, and relevant certifications. Salaries vary by industry and location but tend to be higher than average entry-level positions in many regions.

What are the typical responsibilities of a Data Mapping professional on a project team?

As a Data Mapping professional, you'll be responsible for analyzing data sources, defining relationships between different datasets, and documenting data flows as information is migrated or integrated between systems. You commonly work closely with business analysts, database administrators, and software developers to ensure mapping accuracy and to troubleshoot any discrepancies that arise. The role involves a mix of technical analysis, requirements gathering, and frequent collaboration to align data mapping with project objectives. You'll be expected to maintain detailed mapping documentation and adapt to evolving data structures, which is crucial for supporting clean data integrations and successful system implementations.

Infographic showing various Data Mapping job openings in Ohio as of June 2026, with employment types broken down into 71% Full Time, 8% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $67,570 per year, or $32.5 per hour.

Data Architect

The Data Sherpas

Cleveland, OH โ€ข On-site, Remote

$61.75 - $79.50/hr

Full-time

Medical, Dental, Vision

Posted 18 days ago


Job description

Data Architect

Full-time Onsite (Greater Cleveland, OH Area)


ABOUT THE ROLE

A prominent manufacturing organization in the Greater Cleveland area is seeking a pragmatic, detail-oriented Data Architect to spearhead a major data modernization initiative. This critical enterprise project involves transitioning core data ecosystems from a legacy Siebel environment into Salesforce and Snowflake.


Serving as the technical anchor for the data migration strategy, the Data Architect will collaborate directly with onsite engineering and business teams. This individual will tackle complex data mapping challenges, untangle legacy Siebel structures, and design scalable schemas in a multi-cloud environment to ensure the new Snowflake data warehouse is optimized for long-term analytics. For a professional who enjoys the puzzle of turning legacy complexity into clean, modern data architectures, this project offers high impact and visibility.


KEY RESPONSIBILITIES

  • Lead Data Mapping & Migration: Own the comprehensive source-to-target data mapping, transformation logic, and lineage tracking required to migrate legacy Siebel data into Salesforce and Snowflake.
  • Architect Snowflake Solutions: Design, optimize, and maintain Snowflake environments, ensuring clean data modeling, efficient data sharing, and robust warehouse performance.
  • Modernize Data Structures: Collaborate with onsite engineering and business stakeholders to translate legacy Siebel data models into scalable, modern CRM and analytical data schemas.
  • Ensure Data Governance: Establish and enforce data quality standards, access patterns, and security guardrails across a multi-cloud data landscape.
  • Collaborate Cross-Functionally: Work closely alongside Salesforce teams, data engineers, and business analysts to ensure a seamless data transition with minimal business disruption.


REQUIRED QUALIFICATIONS

  • 5+ years of experience in data architecture, data modeling, or data warehouse design.
  • Legacy System Migration Expertise: Proven experience working with or migrating data away from Siebel (or closely related legacy CRM/ERP systems like Oracle EBS), with a deep understanding of complex legacy data schemas.
  • Deep Expertise with Snowflake: Strong production experience designing and optimizing Snowflake environments (SnowSQL, data sharing, schema design).
  • Advanced Data Mapping Skills: Demonstrated success leading extensive source-to-target data mapping and lineage tracking for large-scale enterprise migrations.
  • Expert SQL Skills: Ability to reverse-engineer complex, nested legacy queries and write clean, optimized code for modern cloud platforms.
  • Multi-Cloud Familiarity: Hands-on experience working within major cloud ecosystems (AWS, Azure, or GCP).
  • Location: Ability to work full-time onsite in the Greater Cleveland, OH area, 5 days a week. No relocation will be offered.
  • Education: Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.


NICE TO HAVE (PREFERRED)

  • Salesforce Experience: Familiarity with the Salesforce data model, standard/custom objects, and CRM data integration patterns.
  • Certifications: Active Snowflake SnowPro Core/Advanced or cloud provider certifications (AWS, Azure, GCP).
  • Experience with dbt for transformation workflows and data documentation.


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities.
  • Flexible work environment and remote work options.


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.