1

Senior Data Manager Jobs in Seattle, WA (NOW HIRING)

Senior Data Modeler

Lynnwood, WA · On-site

$50 - $55/hr

Senior Data Modeler -- Enterprise Analytics & Data Platforms Location: Morristown, NJ (Hybrid -- 3 ... Proven ability to work independently, manage competing priorities, and deliver in consulting ...

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... Senior Data Architect to lead the design, management, and maturity of the firm's enterprise data ... Manage Data Backup and retention policies, Recovery Time Objectives (RTO). Integration, Automation ...

Senior Data Architect

Seattle, WA · On-site

$76.50 - $102.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... Senior Data Architect to lead the design, management, and maturity of the firm's enterprise data ... Manage Data Backup and retention policies, Recovery Time Objectives (RTO). Integration, Automation ...

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... Senior Data Architect to lead the design, management, and maturity of the firm's enterprise data ... Manage Data Backup and retention policies, Recovery Time Objectives (RTO). Integration, Automation ...

Senior Data Architect

Seattle, WA · On-site

$76.50 - $102.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... Senior Data Architect to lead the design, management, and maturity of the firm's enterprise data ... Manage Data Backup and retention policies, Recovery Time Objectives (RTO). Integration, Automation ...

Senior Data Engineer

Seattle, WA · Hybrid

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Acts as a subject matter expert among peers, with manager and senior management on all matters pertaining to data platforms and the supporting architecture. * Develop and maintain the end-to-end ...

You'll work in small, multidisciplinary crews alongside engineers, product managers, and domain ... As a senior data scientist, you will also coach engineers and cross-disciplinary partners in data ...

You'll work in small, multidisciplinary crews alongside engineers, product managers, and domain ... As a senior data scientist, you will also coach engineers and cross-disciplinary partners in data ...

Senior Data Engineer

Seattle, WA · Hybrid

$135K - $173K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the ... Administer the platform day to day managing compute and storage, role-based access, monitoring, and ...

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Sr. Data Scientist Reports To: Director of Engineering Department: Product & Engineering Location ... Ability to manage the stress of a fast-paced environment. * Ability to meet the in-person ...

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For senior professionals ready to shape the future of AI and Data Science, your next big ... Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving ...

Senior Data Engineer

Seattle, WA · On-site

$135K - $173K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the ... Administer the platform day to day managing compute and storage, role-based access, monitoring, and ...

Senior Data Scientist, Marketplace

Seattle, WA · On-site

$136.16 - $170.20/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Data Scientist on FORTOP, you will improve marketplace efficiency by designing ... Partner with Engineers, Product Managers, and Business Partners to frame problems, both ...

Senior Data Engineer

Seattle, WA · Hybrid

$135K - $173K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the ... Administer the platform day to day managing compute and storage, role-based access, monitoring, and ...

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Overview As a Senior Data Scientist for LLM Evaluation , you will develop and implement cutting ... g., managing structured and unstructured data, applying statistical techniques and reporting ...

next page

Showing results 1-20

Senior Data Manager information

See Seattle, WA salary details

$89.9K

$140K

$210K

How much do senior data manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data manager in Seattle, WA is $140,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

What are the key skills and qualifications needed to thrive as a senior data manager, and why are they important?

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.

What is the difference between Senior Data Manager vs Data Analyst?

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What does a senior data manager do?

A senior data manager oversees the collection, organization, and analysis of data within an organization. They develop data management strategies, ensure data quality and security, and often use tools like SQL and data visualization software to support decision-making. This role typically requires strong leadership skills and experience in data governance and analytics.

What are the most commonly searched types of Senior Data jobs in Seattle, WA?

The most popular types of Senior Data jobs in Seattle, WA are:

What are popular job titles related to Senior Data Manager jobs in Seattle, WA?

For Senior Data Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Data Manager jobs in Seattle, WA look for?

The top searched job categories for Senior Data Manager jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Senior Data Manager jobs?

Cities near Seattle, WA with the most Senior Data Manager job openings:

Infographic showing various Senior Data Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 77% In-person, 10% Hybrid, and 13% Remote job distribution, with an average salary of $140,040 per year, or $67.3 per hour.

Senior Data Modeler

Globenet Consulting Corp

Lynnwood, WA • On-site

$50 - $55/hr

Full-time

Re-posted 11 days ago


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)
We’re 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, you’ll 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 you’ll 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.