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Senior Azure 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 ... Strong knowledge of Azure cloud services including Azure Data Lake Storage, Azure Data Factory ...

... architecture and build the foundation for AI, analytics, and trusted reporting ... This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ...

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... We are Enterprise Architects * We are Artificial Intelligence Innovators * We are Technological ...

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 ...

Data Architect

OR · On-site +1

$63.75 - $82/hr

... data architecture or senior technical leadership role. * Demonstrated experience designing ... Hands-on experience with Snowflake and at least one major cloud platform such as AWS, Azure, or ...

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

... experience in data architecture, data engineering, or a related role within an enterprise ... Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate ...

OR · On-site

$135K - $203K/yr

Architect systems for high availability, disaster recovery, and auditability * Define and enforce ... Prior experience building data pipelines using SSIS, Azure Data Factory or similar * Strong ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

What You'll Contribute as a Data Engineer Data Architecture & Integration * Design and develop end-to-end data pipelines using Azure Data Factory (ADF), Azure Synapse, Databricks, Logic Apps, etc.

New

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ... Collaborate with business stakeholders, data architects, developers, and other cross-functional ...

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ... Collaborate with business stakeholders, data architects, developers, and other cross-functional ...

Microsoft Fabric Solutions Architect

OR · On-site +1

$63 - $83/hr

Lead the architecture and design of enterprise-scale data solutions on the Azure platform. * Serve ... in a comparable senior technical leadership role. * Bachelor's and Master's degree in computer ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ... Collaborate with business stakeholders, data architects, developers, and other cross-functional ...

OR · On-site

$63 - $83/hr

Lead the architecture and design of enterprise-scale data solutions on the Azure platform. * Serve ... in a comparable senior technical leadership role. * Bachelor's and Master's degree in computer ...

Solutions Architect

OR · On-site +1

$63 - $83/hr

Role Overview We are looking for a Solutions Architect - Managed Services to join our Elastic ... Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure ...

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

Role Overview We are looking for a Sr. Solutions Architect - Managed Services to join our Elastic ... Expertise with cloud-native data technologies in AWS and/or Azure, including services such as S3 ...

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Senior Azure Data Architect information

What does a senior Azure Data Architect do?

A Senior Azure Data Architect is responsible for designing, implementing, and managing complex data solutions on Microsoft Azure. They work with stakeholders to define data strategies, create scalable data architectures, and ensure data security and compliance in the cloud. Their role often involves overseeing data migration, optimizing data storage, and integrating various Azure services for analytics and business intelligence. They also provide technical leadership and guidance to teams, ensuring best practices are followed throughout the data lifecycle.

What are some common challenges faced by senior Azure Data Architects when designing cloud data solutions?

Senior Azure Data Architects often encounter challenges such as integrating legacy on-premises systems with Azure cloud services, ensuring data security and compliance with industry standards, and optimizing data pipelines for performance and cost efficiency. Additionally, they frequently work with cross-functional teams, requiring strong communication to align business objectives with technical solutions. Staying current with Azure’s rapidly evolving data services and best practices is also essential to deliver robust, future-proof architectures.

What are the key skills and qualifications needed to thrive as a senior Azure Data Architect, and why are they important?

To thrive as a Senior Azure Data Architect, you need deep expertise in data modeling, database architecture, and cloud solutions, typically supported by a degree in computer science and relevant Azure certifications. Proficiency with Microsoft Azure services (such as Azure SQL Database, Data Factory, Databricks, and Synapse Analytics), data integration tools, and scripting languages like SQL and Python is essential. Strong problem-solving abilities, communication skills, and leadership are vital for collaborating with stakeholders and guiding project teams. These skills ensure the design and implementation of robust, scalable, and secure data solutions that align with organizational goals.

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

AspectSenior Azure Data ArchitectData Engineer
Required CredentialsAzure certifications, data architecture experienceAzure certifications, programming skills, data pipeline experience
Work EnvironmentDesigning data solutions, strategic planningBuilding and maintaining data pipelines, data integration
Employer & Industry UsageCloud solutions, enterprise data strategyData processing, analytics, software development
Common Search & Comparison IntentUnderstanding strategic roles in Azure data projectsTechnical implementation and pipeline development

The Senior Azure Data Architect focuses on designing and overseeing cloud-based data solutions using Azure, emphasizing architecture and strategy. In contrast, Data Engineers are more involved in building, maintaining, and optimizing data pipelines and infrastructure. Both roles require Azure certifications and work within similar industry environments, but their core responsibilities differ in scope and focus.

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

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

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

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

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

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

Infographic showing various Senior Azure Data Architect job openings in Oregon as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Senior Data Architect

Amerilife Group, LLC

OR • On-site, Remote

$67.25 - $90/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


AmeriLife rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

96th of 315 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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