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Senior Data Modeler Jobs in Bothell, WA (NOW HIRING)

Sr. Data Architect

Seattle, WA · On-site +1

$150K - $170K/yr

About the Role The Senior Data Architect plays a foundational role in building the data ... Semantic Modeling and AI Enablement * Design enterprise semantic models structured for natural ...

About the Role The Senior Data Architect plays a foundational role in building the data ... Semantic Modeling and AI Enablement * Design enterprise semantic models structured for natural ...

Sr. Data Architect

Seattle, WA · On-site

$150 - $170/hr

The Senior Data Architect plays a foundational role in building the data infrastructure that will ... Semantic Modeling and AI Enablement * Design enterprise semantic models structured for natural ...

About the Role The Senior Data Architect plays a foundational role in building the data ... Semantic Modeling and AI Enablement * Design enterprise semantic models structured for natural ...

Senior Data Engineer

Seattle, WA

$120K - $163K/yr

What this job involves As a Senior Data Engineer on the Data Consumption team, you will own the ... Data Modeling & Schema Design: Design shared, versioned data models and access patterns that ...

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Sammamish, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Redmond, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Bellevue, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Edmonds, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Bremerton, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Kirkland, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Everett, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Renton, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Issaquah, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Bothell, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Senior, Data Scientist

Burien, WA · On-site

$108K - $216K/yr

Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments. * Create clear, insightful data visualizations and presentations to ...

Showing results 21-40

Senior Data Modeler information

See Bothell, WA salary details

$40

$75

$94

How much do senior data modeler jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for senior data modeler in Bothell, WA is $75.58, according to ZipRecruiter salary data. Most workers in this role earn between $66.92 and $85.72 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 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.

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 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.

What are the most commonly searched types of Data Modeler jobs in Bothell, WA?

The most popular types of Data Modeler jobs in Bothell, WA are:

What are popular job titles related to Senior Data Modeler jobs in Bothell, WA?

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

What job categories do people searching Senior Data Modeler jobs in Bothell, WA look for?

The top searched job categories for Senior Data Modeler jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Senior Data Modeler jobs?

Cities near Bothell, WA with the most Senior Data Modeler job openings:

Infographic showing various Senior Data Modeler job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,198 per year, or $75.6 per hour.

Sr. Data Architect

Precor, Incorporated

Seattle, WA • On-site, Remote

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Key responsibilities

  • Design and govern scalable, fault-tolerant data pipelines across Microsoft Fabric, SAP ECC 6.0, and Google BigQuery to ensure reliable data flow from source systems to BI consumption.

  • Architect end-to-end data extraction from SAP ECC modules and establish patterns for batch and near-real-time ingestion, including change-data-capture strategies.

  • Establish data governance, lineage, security, and quality frameworks, and define role-based access and data-protection standards.


Precor rating

8.4

Company rating: 8.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

102nd of 496 rated machine equipment manufacturers


Job description

About the Role
The Senior Data Architect plays a foundational role in building the data infrastructure that will power Precor's transition from spreadsheet-driven reporting to a governed, scalable analytics platform. This role is responsible for designing and governing the end-to-end data architecture across Microsoft Fabric, SAP ECC 6.0, and Google BigQuery-ensuring data flows reliably from source systems to decision-makers across finance, operations, supply chain, and sales.
Working closely with the Manager of Data & Insights and cross-functional business leaders, the Senior Data Architect sets technical standards, mentors the data team, and ensures the platform is structured to support machine learning, generative AI, and self-service analytics both today and as the business grows.
Responsibilities
Architecture and Pipeline Design
  • Design and govern scalable, fault-tolerant data pipelines spanning Microsoft Fabric, SAP ECC 6.0, and Google BigQuery, ensuring reliable data flow from source systems through transformation to BI consumption.
  • Architect end-to-end extraction from complex SAP ECC modules (FI/CO, MM, SD, PP), including medallion (bronze/silver/gold) layering within Fabric's Lakehouse and OneLake environment.
  • Establish patterns for batch and near-real-time ingestion, including change-data-capture (CDC) strategies that move SAP transactional data without overloading source systems.
  • Design integration strategies that bridge Microsoft Azure and Google Cloud, enabling the two platforms to function as one coherent ecosystem.
  • Evaluate and select ingestion, orchestration, and storage patterns that balance performance, cost, and long-term maintainability.

Semantic Modeling and AI Enablement
  • Design enterprise semantic models structured for natural-language querying, Copilot integration, and downstream machine learning pipelines.
  • Build and govern the business-logic layer that ensures AI-generated insights are grounded in validated, well-defined metrics.
  • Standardize KPI and business definitions across the organization so that revenue, margin, and active units mean the same thing in every report and every AI-driven answer.
  • Partner with data science to ensure feature stores and training datasets draw from architecturally sound, lineage-tracked sources.
  • Anticipate emerging AI use cases-forecasting, anomaly detection, natural-language analytics-and ensure the architecture can support them without costly redesign.

Governance, Quality, and Security
  • Establish data governance, lineage, security, and quality frameworks so that data can be trusted, audited, and traced to its source.
  • Define role-based access and data-protection standards that keep sensitive financial, customer, and operational data secure across cloud platforms.
  • Implement data quality monitoring and validation to catch and resolve issues before they surface in reports.
  • Establish cost-optimization and performance standards across Fabric capacity units, treating cloud spend as a managed business resource.

Strategy, Leadership, and Stakeholder Partnership
  • Serve as the technical authority who translates business strategy into a clear data architecture roadmap and communicates trade-offs in language executives can act on.
  • Partner directly with leaders in finance, operations, supply chain, and sales to ensure the data platform is built around real business questions.
  • Mentor and elevate data engineers, BI developers, and analysts, raising architectural maturity and delivery speed across the team.
  • Set technical standards, review designs, and serve as the final escalation point for complex architectural decisions.
  • Build and defend business cases for new investments in data tooling and capacity with clear, outcome-focused reasoning.

Qualifications
  • 5+ years in data engineering or architecture, with 1+ years in a senior or lead architect capacity.
  • Deep, hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI semantic models and dataflows) or equivalent.
  • Proven experience extracting and modeling data from SAP ECC 6.0, with real understanding of SAP's underlying table structures and extraction challenges.
  • Strong command of dimensional and semantic modeling (Kimball, star schemas, governed metric layers).
  • Demonstrated ability to design architectures that explicitly enable AI and machine learning workloads.
  • Track record of connecting technical decisions to measurable business outcomes and communicating them to executive stakeholders.

Preferred Qualifications
  • Experience integrating heterogeneous cloud environments (Azure and GCP).
  • Familiarity with AI and LLM-driven analytics (Copilot, retrieval-augmented generation over enterprise data, natural-language BI).
  • Background in manufacturing, supply chain, or consumer products data domains.
  • Production experience with Google BigQuery, including partitioning, performance tuning, and cost management.

Pay Range: $150,000 to $170,000
The pay range represents the low and high end of the anticipated pay range for this position based at our Woodinville, WA headquarters. The actual pay offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our pay is just one component of Precor's total rewards strategy that also includes region-specific health and welfare benefits.
As an organization, one of our top priorities is to maintain the health and well-being of our employees and their families. To achieve this goal, we offer robust and comprehensive benefits including:
  • Medical, dental and vision insurance
  • Generous paid time off policy
  • Short-term and long-term disability
  • Access to Employee Assistance Program; including access to mental health services
  • 401(k) including employer match
  • Pet insurance and so much more!

About Precor
Precor is known for developing and manufacturing the most innovative and reliable commercial fitness equipment on the market. With over 40 years of empowering exercisers, trainers, business owners, and operators alike we take pride in offering world-class fitness solutions across over 13,000 facilities and 100+ countries. We sweat every detail to bring best-in-class product solutions into commercial facilities, meeting exercisers wherever they are: at work, at school, in the gym, or on the road.
Precor is an equal opportunity employer and committed to creating an inclusive environment for all our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request an accommodation regarding the application/interview process or are having difficulty using our website for application purposes, please contact: HR@precor.com

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