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Data Modeling Jobs in Durham, NC (NOW HIRING)

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

NC-806590 Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/DirectQuery/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning ...

Data Modeling and Identity Resolution: Build and maintain Data Cloud data models, mapping to the canonical data model, and configure identity resolution rulesets to unify customer and account data ...

Data Engineer

Durham, NC

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Develop and maintain data models, dashboards, and reports using Power BI. * Work with large data sets to identify trends, patterns, and insights. * Extract and analyze data from various sources ...

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Develop and maintain data models, dashboards, and reports using Power BI. * Work with large data sets to identify trends, patterns, and insights. * Extract and analyze data from various sources ...

Data Engineer - Hybrid

Raleigh, NC · On-site

$111K - $133K/yr

Develop and maintain data models, data transformations, and semantic layers to support Power BI reporting and analytics. * Optimize Synapse pipelines, SQL queries, and data storage for performance ...

Sr Data Analyst

Raleigh, NC · Hybrid

$83K - $105K/yr

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve ...

New

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

Working knowledge of Power BI datasets and data modeling concepts. * Knowledge of enterprise data architecture and data modeling principles. At Kimley-Horn, we do things differently. People, clients ...

New

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Data Modeling and Database Design: * Proficiency in designing and implementing relational and non-relational databases. * Knowledge of data modeling techniques and tools. Azure Data Services: * Deep ...

Working knowledge of Power BI datasets and data modeling concepts. * Knowledge of enterprise data architecture and data modeling principles. Why Kimley-Horn? At Kimley-Horn, we do things differently.

Showing results 21-40

Data Modeling information

See Durham, NC salary details

$9

$56

$80

How much do data modeling jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data modeling in Durham, NC is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $65.96 per hour, depending on experience, location, and employer.

What do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.
What are popular job titles related to Data Modeling jobs in Durham, NC? For Data Modeling jobs in Durham, NC, the most frequently searched job titles are:
What cities near Durham, NC are hiring for Data Modeling jobs? Cities near Durham, NC with the most Data Modeling job openings:
Infographic showing various Data Modeling job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,008 per year, or $56.7 per hour.

SAP Enterprise Data Architect

KBI Biopharma, Inc.

Durham, NC • On-site

Full-time

Re-posted 23 days ago


KBI Biopharma rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

JOB SUMMARY

The SAP Enterprise Data Architect role provides expertise in SAP S/4HANA data architecture, enterprise data modeling, migration strategy, and data governance. This is a key role in designing scalable data structures across source, staging, and target environments; defining migration and validation frameworks; and enabling high-quality, business-ready data to support operational processes, reporting, and analytics. This position requires strong partnering with business, functional, and technical stakeholders to align data design with transformation objectives, compliance requirements, and long-term governance standards.


JOB RESPONSIBILITIES

  • Lead the design and governance of the enterprise data model for SAP S/4HANA, ensuring alignment across legacy sources, staging layers, and target business objects.
  • Define end-to-end data architecture, including data lineage, harmonization rules, established structures, and simplified staging models to support efficient migration and downstream consumption.
  • Establish data standards, governance policies, ownership models, validation rules, and reconciliation criteria to improve data quality, integrity, and auditability.
  • Partner with business process owners, functional leads, and technical teams to translate business requirements into scalable data designs that support core operational processes and analytics.
  • Guide migration strategy and object-level design decisions, including load sequencing, dependency management, logic, and tool selection for SAP S/4HANA data loads.
  • Support data profiling, cleansing, and harmonization activities across master and transactional data domains to improve readiness for migration.
  • Ensure migrated data supports reporting, compliance, and business performance requirements, including readiness for operational KPIs and downstream integrations.
  • Provide architectural oversight for migration tooling such as SAP S/4HANA Migration Cockpit, staging table approaches, ETL frameworks, and related SAP data services.
  • Develop and maintain architecture documentation, data mapping standards, and design artifacts to support delivery teams, governance bodies, and audit requirements.
  • Drive continuous improvement in enterprise data practices by promoting reusable patterns, stronger governance, and sustainable data quality processes

REQUIRED KNOWLEDGE, SKILLS, & ABILITIES

  • Bachelor's degree in information systems, Computer Science, Engineering, Business, or a related field.
  • 10 to 15 years of experience working in SAP with multiple implementations across multiple modules.
  • Experience in enterprise data architecture, data migration, or master data management within SAP environments for both GxP and non-GxP data sets.
  • Strong knowledge of SAP S/4HANA data structures, master data objects, transactional data dependencies, and enterprise integration concepts.
  • Experience defining enterprise data models, data standards, governance frameworks, and migration strategies for large-scale transformation programs.
  • Direct understanding of migration and integration tools such as SAP S/4HANA Migration Cockpit, SAP Data Services, ETL platforms, and staging-based migration methods.
  • Proven ability to lead cross-functional workshops, resolve complex data issues, and align technical design with business priorities.
  • Strong analytical, documentation, communication, and cross-functional stakeholder management skills.
  • Key technical skills in SAP S/4HANA Data Architecture, Enterprise Data Modeling, Data Governance, Data Migration Strategy, Master Data Management, Data Lineage, Data Quality, Data Harmonization, SAP Migration Cockpit, SAP Data Services, ETL Design, Validation and Reconciliation, Business Process Integration, Reporting and Analytics Readiness.

DESIRED KNOWLEDGE, SKILLS, & ABILITIES

  • Experience supporting global SAP S/4HANA implementations across multiple business units, regions, or legal entities.
  • Familiarity with SAP Master Data Governance, SAP Business Technology Platform, and analytics enablement for SAP reporting environments.
  • Knowledge of regulated or compliance-driven environments that require strong data controls, traceability, and audit readiness.
  • Experience with data quality management, harmonization programs, and post-go-live governance models.
  • SAP certification or relevant architecture, data, or transformation credentials.

KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply.

I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me. If I am hired, I understand that either KBI Biopharma, Inc. or I can terminate my employment at any time and for any reason, with or without cause and without prior notice. I understand that no representative of KBI Biopharma, Inc. has the authority to make any assurance to the contrary.

I attest with my signature below that I have given to KBI Biopharma, Inc. true and complete information on this application. No requested information has been concealed. I authorize KBI Biopharma, Inc. to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal.


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