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Data Modeling Jobs in Portland, OR (NOW HIRING)

Data Architect (Data Platform)

Portland, OR · On-site

$67.50 - $87/hr

Data Modeling & Design You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake ...

Data Architect (Data Platform)

Portland, OR

$67.50 - $87/hr

Data Modeling amp; Design You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI ...

Azure Data Architect

Beaverton, OR · On-site

$66.05 - $76.05/hr

This role plays a critical part in defining data models, data flows, architectural standards, and best practices across the organization. Responsibilities: * Design and maintain enterprise data ...

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Create data models for advanced to complex subjects and provide guidance to junior architects. * Create advanced ETL specifications to meet business data needs. * Develop and maintain appropriate ...

Establish enterprise standards for data modeling, semantic structures, taxonomy, nomenclature, metadata, lineage, governance, security, scalability, and cost management. * Partner with business and ...

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Data Modeling information

See Portland, OR salary details

$10

$62

$88

How much do data modeling jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data modeling in Portland, OR is $62.28, according to ZipRecruiter salary data. Most workers in this role earn between $55.87 and $72.40 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

What are the key skills and qualifications needed to thrive in the Data Modeling position, 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 job?

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 $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. 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 does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
What job categories do people searching Data Modeling jobs in Portland, OR look for? The top searched job categories for Data Modeling jobs in Portland, OR are:
Infographic showing various Data Modeling job openings in Portland, OR as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $129,552 per year, or $62.3 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Overview

As a Data Modeler & Architect, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

We are seeking a skilled and strategic Data Modeler with a strong foundation in data architecture to join our Data Architecture department. In this role, you will be at the center of designing and governing our enterprise data models, driving Master Data Management (MDM) initiatives, and enabling seamless data system integration across our Databricks-powered lakehouse environment. You will collaborate closely with data engineers, analytics engineers, and business stakeholders to ensure our data assets are well-structured, consistent, and fit for purpose.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Data Modeler & Architect, you will:

Data Modeling & Design

  • Design and maintain conceptual, logical, and physical data models that support enterprise data strategy and business requirements.
  • Develop and enforce data modeling standards, best practices, and naming conventions across the organization.
  • Create and manage dimensional models (star/snowflake schemas) optimized for analytics workloads on Databricks.
  • Collaborate with data engineers to translate logical models into efficient physical implementations within the Databricks lakehouse (bronze, silver, gold layers).

Master Data Management (MDM)

  • Lead the design and implementation of MDM frameworks, including entity resolution, golden record creation, and data stewardship workflows.
  • Define and manage master data domains such as Customer, Product, Partners, and Location.
  • Partner with business units to identify authoritative data sources and resolve data conflicts across systems.
  • Govern master data lifecycle - creation, maintenance, retirement - and enforce data quality rules.

Data System Integration

  • Architect data models that support data ingestion from multiple source systems (ERP, CRM, third-party APIs, etc.) into the lakehouse.
  • Design canonical data models to enable consistent representation of shared entities across integrated systems.
  • Work with data engineering and BI teams to ensure data contracts, schemas, and transformations align with enterprise data standards.
  • Support event-driven and batch integration patterns, ensuring model compatibility with streaming and batch pipelines.

Architecture & Governance

  • Contribute to the enterprise data architecture roadmap, aligning data modeling efforts with strategic technology initiatives.
  • Maintain a centralized data model repository and keep documentation current across all model versions.
  • Participate in data governance forums, providing modeling expertise to support data cataloging, lineage, and quality initiatives.
  • Conduct data model reviews and provide mentorship to junior modelers and data engineers on modeling principles. 

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 3+ years of experience in data modeling, data architecture, or a closely related role.
  • Proven expertise in relational, dimensional, and NoSQL data modeling techniques.
  • Hands-on experience with Master Data Management (MDM) strategies, tools, and governance practices.
  • Solid proficiency in SQL - including complex queries, schema design, and query optimization.
  • Experience with Python for data transformation, automation, and scripting.
  • Working knowledge of Apache Spark and distributed data processing concepts.
  • Practical experience with Databricks, including Delta Lake, Unity Catalog, and lakehouse architecture (bronze/silver/gold).
  • Experience designing data integration models for heterogeneous source systems.
  • Familiarity with data modeling tools such as Erwin, DBeaver, DataGrip, and similar.
  • Strong communication skills, with ability to present complex data concepts to both technical and non-technical audiences.
  • Excellent project management and cross-functional communication skills, with the ability to align technical and non-technical stakeholders
  • Strong advocate for CI/CD-driven delivery, with a focus on measurable security, performance, and quality outcomes

 

Preferred Qualifications:

  • Experience with data catalog and lineage tools (e.g., Alation, Collibra, Unity Catalog).
  • Knowledge of data mesh principles and domain-oriented data ownership.
  • Exposure to streaming data architectures (Kafka, Spark Streaming, Delta Live Tables).
  • Familiarity with cloud platforms such as AWS, Azure, or GCP in the context of data infrastructure.
  • Databricks Certified Associate or Professional certification.
  • Background in ontology design or semantic data modeling.

 

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit Is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME