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Sap Master Data Governance Jobs in Oregon (NOW HIRING)

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Partner with Data Governance teams on metadata, lineage, stewardship, business glossary, master data management (MDM), and data quality. * Optimize platform scalability, performance, reliability ...

SAP MM/AFS

Hillsboro, OR

$68.50 - $93.75/hr

... Master Data, Sourcing, Inbound Logistics, Distribution (Inventory Management). * Engage with ... Execute SAP projects that extend the functional or geographic use of the system in support of the ...

SAP MM/AFS

Hillsboro, OR · On-site

$68.50 - $93.75/hr

... Master Data, Sourcing, Inbound Logistics, Distribution (Inventory Management). * Engage with ... Execute SAP projects that extend the functional or geographic use of the system in support of the ...

MDM Architect

OR · On-site +1

$80K - $81K/yr

Define and maintain canonical data models and governance standards that improve consistency across enterprise applications. * Ensure master data is accurate, governed, reusable, and available across ...

"SAP FICO"

Portland, OR · On-site

$60.25 - $77.75/hr

... Master Data • Payroll interfaces and FI-HR Integration points • TREASURY a skills needed • Complete Treasury Configurations • Instruments

... and governance. * Deep experience designing enterprise data models, semantic layers, canonical data structures, and master data strategies. * Advanced knowledge of Salesforce data architecture ...

SAP EWM Functional consultant

Portland, OR · On-site

$66.75 - $91.25/hr

... master data: Packaging Specifications, Warehouse Organizational Structure, Handling Units, etc. - Configure and modify Post Processing Framework in SAP EWM as required. - Add value to the client ...

... master data, and enterprise data management. * Help clients define how operational, CRM, financial, engagement, and analytical data should work together across the organization. Data Governance ...

Data Architect

OR · On-site +1

$63.75 - $82/hr

Define a shared enterprise data model, canonical business definitions, master-data strategy, and ... Establish data governance practices covering data ownership, access controls, privacy, security ...

Financial Systems and Data Governance * Lead the vision, roadmap, and requirements for AMD (asset ... Govern cost objects, funding assignments, master data, reconciliations, and integrations across SAP ...

Data Validation: Verify that master data (Suppliers, Cost Centers, Gl Accounts, Material Master ... SAP BTP Integration Suite: 3-5 years of hands-on experience building iFlows, configuring adapters ...

Showing results 21-40

Sap Master Data Governance information

What is an SAP Master Data Governance?

An SAP Master Data Governance (MDG) job focuses on managing and ensuring data integrity, consistency, and compliance within an organization using SAP MDG solutions. Professionals in this role define data governance policies, oversee data quality, and implement workflows to standardize master data across business units. They collaborate with IT and business teams to maintain accurate and reliable master data, reducing redundancies and errors. Additionally, they support data migration, integration, and regulatory compliance efforts. Effective MDG implementation helps organizations improve decision-making, streamline operations, and enhance overall business efficiency.

What does an SAP Master Data Governance do?

Professionals in SAP Master Data Governance are responsible for managing and maintaining master data quality, monitoring data flows, and resolving data-related issues as they arise. They collaborate closely with business process owners, IT teams, and data stewards to define data standards, validate data entries, and implement governance policies. A typical day may include configuring SAP MDG systems, conducting data audits, supporting data integration projects, and providing user training. This role is vital for ensuring that the organization’s business processes run smoothly by upholding data accuracy and compliance.

What are the key skills and qualifications needed to thrive in SAP Master Data Governance?

To thrive as an SAP Master Data Governance professional, you need expertise in data management, SAP MDG solutions, and a strong understanding of business processes, usually backed by a relevant degree or SAP certification. Familiarity with SAP Master Data Governance modules, data migration tools, and integration technologies such as SAP ECC or S/4HANA is important. Analytical thinking, attention to detail, and strong communication skills help ensure effective collaboration across business and IT teams. These skills and qualities are crucial for maintaining data quality and consistency, supporting business operations, and driving successful data governance initiatives.

Is SAP Master Data Governance in demand?

SAP Master Data Governance is in high demand as organizations seek to improve data quality, consistency, and compliance across enterprise systems. Professionals with skills in SAP MDG, data management, and related tools are increasingly sought after in industries implementing digital transformation initiatives.

What are popular job titles related to Sap Master Data Governance jobs in Oregon?

For Sap Master Data Governance jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Sap Master Data Governance jobs in Oregon look for?

The top searched job categories for Sap Master Data Governance jobs in Oregon are:

Infographic showing various Sap Master Data Governance job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% 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

Posted 28 days ago


AmeriLife rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

94th 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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