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Data Model Jobs in Seattle, WA (NOW HIRING)

Senior Data Modeler

Lynnwood, WA ยท Hybrid

$50 - $55/hr

Lead data model reviews, enforce standards, and mentor junior team members on best practices. * Develop and maintain data dictionaries, metadata, and lineage documentation to improve discoverability ...

Staff Software Engineer, Data

Seattle, WA ยท On-site

$175K - $400K/yr

Lead logical and physical data model design for data warehouse and data lakes, optimizing query performance, storage efficiency, and data integrity. * Anticipate data access patterns and proactively ...

Staff Software Engineer, Data

Seattle, WA ยท On-site

$130K - $156K/yr

Lead logical and physical data model design for data warehouse and data lakes, optimizing query performance, storage efficiency, and data integrity. * Anticipate data access patterns and proactively ...

Lead AI Engineer, Data Solutions

Seattle, WA ยท On-site +1

$130K - $156K/yr

You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll DoBuild the Agent Flywheel * Design feedback loops that enable ...

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Define and implement best practices for data modeling, pipeline orchestration, testing, and monitoring * Drive improvements in data architecture, including warehousing, transformation layers, and ...

Sr. Data Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions * Consistently evolve data processes and techniques following industry best practices * Establish ...

Retail Data Architect

Issaquah, WA ยท On-site

$65 - $70/hr

Design and develop enterprise data models using Erwin for both OLTP and OLAP environments, including support for JSON and mixed data types. * Create and optimize modernized web application data ...

Data Architect

Issaquah, WA ยท On-site

$73.50 - $94.50/hr

Builds, optimizes and maintains conceptual and logical database models and are responsible for partnering with the Data Platform teams for translating to the physical model. * Develops integration ...

Data Architect

Issaquah, WA

$73.50 - $94.50/hr

Builds, optimizes and maintains conceptual and logical database models and are responsible for partnering with the Data Platform teams for translating to the physical model. * Develops integration ...

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Showing results 1-20

Data Model information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do data model jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data model in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Model vs Data Analyst?

AspectData ModelData Analyst
Primary RoleDesigns and structures data for databases and systemsAnalyzes data to generate insights and reports
Skills & CertificationsDatabase design, data modeling, SQL, certifications like CDMPData analysis, statistics, Excel, SQL, certifications like CAP or Microsoft Data Analyst
Work EnvironmentWorks with database systems, data warehouses, IT teamsWorks with business teams, reports, dashboards, data visualization tools
Industry UsageUsed in database design, data architecture, software developmentUsed in business intelligence, reporting, data-driven decision making

While Data Modelers focus on designing the structure of data systems, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but their primary objectives differ: one builds the foundation, the other analyzes the data.

What are the 4 types of data models?

Data models are classified into four main types: conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models specify detailed structures without regard to physical storage, physical models describe how data is stored in hardware, and view models focus on specific user perspectives. Data modelers and database administrators often use these types to design and optimize databases effectively.

What is the salary of a data modeler?

The salary of a data modeler typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data modelers with expertise in database design, data warehousing, and tools like SQL or ER modeling tend to earn higher salaries.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of database systems and data modeling techniques is essential for this role.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as data cleaning and pattern recognition, but data modelers are essential for designing complex data structures, interpreting business needs, and ensuring data quality. The role is evolving to include working alongside AI and developing expertise in data management and modeling techniques. Continuous learning and proficiency with modeling tools remain important for data modelers to stay relevant.

Senior Data Modeler

Globenet Consulting Corp

Lynnwood, WA โ€ข Hybrid

$50 - $55/hr

Full-time

Posted 12 days ago

Be an early applicant


Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Role: Senior Data Modeler Enterprise Analytics & Data Platforms
Location: Morristown, NJ (Hybrid 3 days/week onsite)
Were looking for a Senior Data Modeler (7+ years) to design, develop, and maintain scalable data models that power enterprise analytics, data warehousing, and modern application development. In this role, youll partner closely with engineers, architects, analysts, and business stakeholders to translate complex requirements into high-performing data structures, modeling standards, and documentation that improve usability, governance, and data quality across the organization.
What youll do
  • Design conceptual, logical, and physical data models for relational, dimensional, and NoSQL data stores.
  • Create and maintain ERDs, data flow diagrams, and modeling documentation aligned to enterprise standards.
  • Collaborate with engineering and architecture teams to support efficient ingestion, transformation, and reporting pipelines.
  • Translate business needs into optimized schemas that balance scalability, performance, and maintainability.
  • Lead data model reviews, enforce standards, and mentor junior team members on best practices.
  • Develop and maintain data dictionaries, metadata, and lineage documentation to improve discoverability and reuse.
  • Design star/snowflake schemas for data warehouse and data mart environments in partnership with analytics teams.
  • Identify and resolve data quality, redundancy, and integrity issues through effective modeling and normalization/denormalization strategies.
  • Support governance initiatives, including standardization, cataloging, and stewardship alignment.
  • Participate in Agile delivery, producing modeling artifacts iteratively within sprint cycles.
Required qualifications
  • 7+ years of experience in data modeling, data architecture, or a closely related discipline.
  • Expert proficiency with modeling tools such as Erwin, ER/Studio, and/or dbt.
  • Strong experience with relational databases (SQL Server, Oracle, PostgreSQL) and cloud data platforms such as Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse.
  • Deep knowledge of dimensional modeling approaches (Kimball, Inmon) and Data Vault 2.0.
  • Advanced SQL skills for schema design, query optimization, and data validation.
  • Proven ability to work independently, manage competing priorities, and deliver in consulting/contractor-style environments.
  • Strong communication skills and the ability to explain technical concepts to technical and non-technical audiences.
Nice to have
  • NoSQL experience (MongoDB, Cassandra, DynamoDB).
  • Lakehouse architecture familiarity (Delta Lake, Apache Iceberg, Apache Hudi).
  • Exposure to governance/catalog tools (Collibra, Alation, Atlan).
  • Understanding of data mesh concepts and federated ownership models.
  • Experience in regulated domains such as finance, healthcare, or retail.
Ready to make an impact? Apply now and join us on our journey!

Flexible work from home options available.