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Senior Data Architect 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, designing, and governing AmeriLife's enterprise data architecture across modern cloud platforms. This role ...

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We ...

Data Architect

OR · On-site +1

$63.75 - $82/hr

... a data architecture or senior technical leadership role. * Demonstrated experience designing enterprise data warehouses, lakehouses, or analytical platforms and migrating data from multiple ...

The IT Enterprise Data Architect is responsible for defining, governing, and evolving ConnectWise ... May require communication with senior leadership and cross-functional teams globally.

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

Background in parallel computing, server architecture, or datacenter design. * An excitement and curiosity about the future of accelerated computing and AI * Expertise in data analysis and ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics ...

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 ... You will also build the engineering around those models: data pipeline architecture, data flows ...

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 ... You will also build the engineering around those models: data pipeline architecture, data flows ...

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 ... You will also build the engineering around those models: data pipeline architecture, data flows ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... You will also build the engineering around those models: data pipeline architecture, data flows ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases, including high-volume, low-latency data processing * Improve ...

OR

$135K - $203K/yr

Implement data encryption (at rest and in transit), masking, and access controls * Architect ... systems for high availability, disaster recovery, and auditability * Define and enforce data ...

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Job Summary We are seeking an experienced Senior Data Engineer to design, build, and optimize ... Build enterprise data products using Medallion Architecture. * Develop Bronze, Silver, Gold, and ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake ... Architect for the Future: Optimize our existing Snowflake architecture, establishing strict ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability ... Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and ...

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Showing results 1-20

Senior Data Architect information

See Oregon salary details

$41

$79

$108

How much do senior data architect jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for senior data architect in Oregon is $79.70, according to ZipRecruiter salary data. Most workers in this role earn between $68.37 and $91.49 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

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

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

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

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

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

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

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

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

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

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

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

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

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

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

Infographic showing various Senior Data Architect job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,784 per year, or $79.7 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 18 days ago


AmeriLife rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

92nd of 311 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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