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

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$120K - $163K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past ... Architect, build, and maintain scalable ETL/ELT pipelines for acquisition reporting using ...

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All JobsData Architect JobsSenior Data Architect JobsSenior Data Architect Jobs in Bothell, WA

Senior Data Architect information

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$44

$84

$115

How much do senior data architect jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for senior data architect in Bothell, WA is $84.27, according to ZipRecruiter salary data. Most workers in this role earn between $72.31 and $96.73 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

What are the key skills and qualifications needed to thrive as a senior data architect?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

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

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

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

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

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

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

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

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

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

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

Senior Data Architect jobs near you
Infographic showing various Senior Data Architect job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $175,287 per year, or $84.3 per hour.

Onsite Job: Sr. Computer / Data Architect Level 4

Indotronix International Corporation

Seattle, WA • On-site

$74 - $90/hr

Contractor

Re-posted 24 days ago

Job description

Indotronix is seeking an :Sr. Computer / Data Architect Level 4, Seattle, WA
 
Shifts: 1st shift, 7:00 AM to 4:00 PM
Is Clearance Required To Start?: No
Bachelor's degree and 9-12+ years of experience
Willingness to work off hours to coordinate with teams in Indi
 
Position Responsibilities:
Design, document, and maintain the Unified Data Model (UDM) artifacts and mappings.
Model process layers in the datalake, defining transformation responsibilities and lineage across layers.
Define and enforce rules for data processing, including routing tables, validation rules, enrichment logic, and error-handling policies.
Author and maintain schema definitions, attribute dictionaries, and change management processes for schema evolution.
Translate business and source system requirements into data transformation specifications to be implemented in Azure Databricks and downstream systems.
Collaborate with data engineers to design performant transformations, partitioning, and storage strategies in the datalake.
Review and approve data pipeline designs, ensuring adherence to UDM, governance, and security policies.
Work with DevOps and engineering teams to operationalize CI/CD for Databricks notebooks, jobs, and infrastructure-as-code.
Provide technical leadership and mentorship to data engineering teams, including remote collaboration with engineers located in India; coordinate design, implementation, and delivery across time zones (may require off-hour work).
Establish data quality metrics, monitoring, and remediation guidance; ensure traceability and lineage from source to consumption.
Participate in architecture and design reviews, code reviews, and agile ceremonies; drive best practices for data modeling and transformation.
Communicate architecture decisions and trade-offs to stakeholders, product owners, and engineering teams.
Basic Qualifications (Required Skill/Experience):
9+ years of experience in data architecture, data modeling, or related data engineering roles.
Proven experience designing and implementing Unified Data Models (UDM).
Strong expertise in Structured Query Language (SQL)
Strong expertise in data modeling across multiple process layers (raw/ingest, transformed, curated) and defining transformation logic.
Deep understanding of data governance, data lineage, metadata management, and data quality concepts.
Demonstrated experience with Databricks and building/architecting datalake solutions.
Experience defining schema evolution processes, new attribute definitions, and backward-compatible changes.
Experience authoring route tables, processing rules, and data routing/ingestion patterns.
Experience collaborating with geographically distributed engineering teams and willingness to work off hours to coordinate with teams in India.
Strong communication, documentation, and stakeholder engagement skills.
Preferred Qualifications (Desired Skills/Experience):
Prior experience in aviation, training analytics, or related operational data domains.
Experience with Azure Data Factory, Delta Lake, Unity Catalog, or equivalent data governance tools.
Familiarity with infrastructure-as-code and CI/CD practices for data pipelines (Terraform, Azure DevOps, GitOps).
Knowledge of streaming ingestion patterns, Kafka/Event Hubs, and near-real-time processing.
Experience with metadata platforms and data catalog tools (e.g., Purview, Alation).
Experience with containerization and orchestration (Docker, Kubernetes) is a plus.
Bachelor's or advanced degree in Computer Science, Information Systems, Engineering, or related field.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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