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Senior Data Modeler Jobs in Oregon (NOW HIRING)

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Job Summary The Senior Data Architect is a senior technical leader responsible for defining ... Design canonical data models, semantic models, dimensional models, Data Vault 2.0 models, and ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... These models are informed by data-driven analysis of business performance and improvement ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... These models are informed by data-driven analysis of business performance and improvement ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... These models are informed by data-driven analysis of business performance and improvement ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... These models are informed by data-driven analysis of business performance and improvement ...

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Analyze existing data stores and interfaces to support current state and future data models * Work ...

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Develop statistical models to extract trends, measure results, and predict future performance of ...

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

Establish robust data governance, data management, enterprise data models across domains, data ... senior leadership on data and AI architecture decisions. Mentor and guide data engineers ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability ... Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex ...

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

Develop clinical data models using dbt and SQL based on business need and interoperability between existing data models, analysis requirements and data delivery requirements * Develop reports for ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Lead the creation of scalable, reliable data models and optimize them for performance and usability.

Data Engineer

Eugene, OR · On-site

$100K/yr

... Senior Data Engineers. This role contributes to the development and maintenance of the Foundation's data warehouse, ETL/ELT pipelines, data models, and data quality frameworks to ensure trusted ...

New

Data Engineer

Eugene, OR · On-site

$100K/yr

... Senior Data Engineers. This role contributes to the development and maintenance of the Foundation's data warehouse, ETL/ELT pipelines, data models, and data quality frameworks to ensure trusted ...

New

Overview LMI is seeking a skilled Senior Data Scientist to support Army logistics data management ... Develop and maintain enterprise data models, business rules, metadata, and documentation supporting ...

Senior Data Scientist must have knowledge of and access to program datasets and broader information ... Maintain library of model documents, templates, or other reusable knowledge assets. * Provide ...

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Showing results 1-20

Senior Data Modeler information

See Oregon salary details

$37

$71

$89

How much do senior data modeler jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for senior data modeler in Oregon is $71.48, according to ZipRecruiter salary data. Most workers in this role earn between $63.27 and $81.06 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.

What are the most commonly searched types of Data Modeler jobs in Oregon?

The most popular types of Data Modeler jobs in Oregon are:

What are popular job titles related to Senior Data Modeler jobs in Oregon?

For Senior Data Modeler jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Data Modeler jobs in Oregon look for?

The top searched job categories for Senior Data Modeler jobs in Oregon are:

What cities in Oregon are hiring for Senior Data Modeler jobs?

Cities in Oregon with the most Senior Data Modeler job openings:

What are popular job titles related to Senior Data Modeler jobs in OR?

For Senior Data Modeler jobs in OR, the most frequently searched job titles are:

Infographic showing various Senior Data Modeler job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $148,676 per year, or $71.5 per hour.

Senior Data Architect

Amerilife Group, LLC

OR • On-site, Remote

$67.25 - $90/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


AmeriLife rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

90th of 308 rated insurance


Job description

Our Company

Explore how you can contribute at AmeriLife.

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry.

Job Summary

The Senior Data Architect is a senior technical leader responsible for defining, designing, and governing AmeriLife's enterprise data architecture across modern cloud platforms. This role leads the design of scalable, secure, and high-performing data platforms, enterprise data models, semantic models, and data products that enable analytics, AI, governance, regulatory reporting, and enterprise decision making.
The ideal candidate is a highly hands-on architect with deep expertise in Databricks, enterprise data modeling, advanced SQL, cloud data platforms, Data Vault 2.0, metadata management, and enterprise architecture. This individual partners closely with engineering, analytics, governance, and business teams while actively designing and implementing enterprise-scale data solutions.

Job Description

Key Responsibilities

  • Lead the architecture and design of enterprise data platforms, enterprise data products, and modern lakehouse solutions.
  • Define and maintain enterprise conceptual, logical, and physical data models across business domains.
  • Design canonical data models, semantic models, dimensional models, Data Vault 2.0 models, and normalized data models to support operational and analytical workloads.
  • Establish enterprise data modeling standards, naming conventions, modeling best practices, and architecture governance.
  • Design scalable data solutions using Databricks Lakehouse, Delta Lake, Unity Catalog, and modern cloud technologies.
  • Develop and optimize complex SQL solutions for large-scale analytical workloads, data transformations, data quality validation, and performance optimization.
  • Partner with Data Engineering teams to ensure architecture standards and enterprise data models are consistently implemented.
  • Lead architecture reviews, solution design sessions, and technical governance across enterprise initiatives.
  • Design metadata-driven frameworks, reusable architecture patterns, and standardized data pipelines.
  • Partner with Data Governance teams on metadata, lineage, stewardship, business glossary, master data management (MDM), and data quality.
  • Optimize platform scalability, performance, reliability, security, and cost efficiency.
  • Mentor architects and engineers on enterprise architecture, data modeling, SQL optimization, and engineering best practices.
  • Evaluate emerging technologies and recommend future-state architecture aligned with enterprise strategy.

Required Qualifications

  • Bachelor's degree in computer science, Information Systems, Engineering, or a related field. Master's degree preferred.
  • 10+ years of experience in enterprise data architecture and enterprise data modeling.
  • 5+ years of experience designing cloud-native data platforms and modern data architectures.
  • Expert-level SQL skills, including query optimization, execution plan analysis, indexing strategies, window functions, stored procedures, complex joins, and performance tuning.
  • Strong hands-on experience with the Databricks Lakehouse Platform.
  • Deep expertise in conceptual, logical, physical, dimensional, semantic, and Data Vault 2.0 data modeling.
  • Extensive experience with enterprise data modeling tools such as Erwin Data Modeler, ER/Studio, Lucidchart, Visio, or equivalent platforms.
  • Strong experience with Apache Spark, Delta Lake, Unity Catalog, Python, and SQL.
  • Experience designing enterprise data warehouses, lakehouses, semantic layers, and enterprise data products.
  • Strong knowledge of Azure cloud services including Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID, Azure Functions, and related services.
  • Experience implementing CI/CD, Infrastructure as Code, Git, and DevOps best practices.
  • Strong understanding of metadata management, lineage, governance, master data management (MDM), reference data management, and data quality.
  • Excellent analytical, communication, and stakeholder management skills.

Preferred Qualifications

  • Microsoft Azure Solutions Architect Expert or equivalent certifications.
  • Databricks Certified Data Engineer Professional or equivalent certification.
  • Experience implementing enterprise metadata repositories and data catalogs.
  • Experience with Snowflake Secure Data Sharing.
  • Experience supporting AI, machine learning, and enterprise analytics platforms.
  • Experience within financial services, insurance, or other highly regulated industries.

Technical Skills

  • Enterprise Data Architecture
  • Enterprise Data Modeling
  • Conceptual, Logical, Physical Data Modeling
  • Data Vault 2.0
  • Dimensional Modeling
  • Semantic Layer Modeling
  • Canonical Data Modeling
  • Databricks Lakehouse
  • Delta Lake
  • Unity Catalog
  • Apache Spark
  • Expert SQL
  • SQL Performance Tuning
  • Python
  • Azure Data Lake Storage
  • Azure Data Factory
  • Microsoft Entra ID
  • Data Modeling Tools (Erwin, ER/Studio, Visio)
  • Metadata Management
  • Data Governance
  • Master Data Management (MDM)
  • Reference Data Management (RDM)
  • Data Quality
  • Performance Optimization

Leadership Competencies

  • Enterprise architecture leadership
  • Technical thought leadership
  • Data modeling expertise
  • Solution architecture
  • Technical mentoring
  • Cross-functional collaboration
  • Executive communication
  • Strategic problem solving
  • Innovation mindset

Compensation

  • Salary Range: $165,000to $170,000

  • This role may be eligible for a discretionary annual bonus.

  • Salary offers will varycommensuratewith experience, education, skills, and training

What AmeriLife Offers

A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive.

Americans with Disabilities Act (ADA) Statement

We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at HR@AmeriLife.com.

Pay Transparency Statement

We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.

Background Screening Statement

Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.


What AmeriLife employees say

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