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Senior Python Data Analyst Jobs in Seattle, WA (NOW HIRING)

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Required - 4+ years of experience building visually rich presentation for senior executives in business managers. Excel pivoting, charts and slice-dice data. Intermediate data analysis experience and ...

Sr. Enterprise Data & AI Architect

Bellevue, WA · On-site

$75.50 - $101/hr

... analysis. • Mentor, and develop a world‑class enterprise architecture practice across the ... SQL mastery, Python/data engineering, and familiarity with the modern data stack. • Experience in ...

... senior leadership • Passion for data-driven enablement and continuous learning • Bachelor ... Analyst) • Experience with AI/ML concepts, prompt engineering, or LLM-integrated analytics • ...

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Senior Python Data Analyst information

See Seattle, WA salary details

$62.6K

$112.9K

$154.2K

How much do senior python data analyst jobs pay per year?

As of Jul 4, 2026, the average yearly pay for senior python data analyst in Seattle, WA is $112,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What are the most commonly searched types of Python Data Analyst jobs in Seattle, WA? The most popular types of Python Data Analyst jobs in Seattle, WA are:
What are popular job titles related to Senior Python Data Analyst jobs in Seattle, WA? For Senior Python Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analyst jobs in Seattle, WA look for? The top searched job categories for Senior Python Data Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Senior Python Data Analyst jobs? Cities near Seattle, WA with the most Senior Python Data Analyst job openings:

$76.50 - $102.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


Job description

Location: Seattle, WA or San Francisco, CA (Full-time; Partially Remote)  

We are seeking a highly skilled Senior Data Architect to lead the design, management, and maturity of the firm’s enterprise data ecosystem. This role owns the architecture and reliability of the LNW data warehouse, reporting platforms, and integration pipelines that power analytics across the organization. The ideal candidate will combine deep SQL and data engineering expertise with a strong understanding of financial services, data flows, and reporting needs of a wealth management firm. 

Interview Requirments 

This role includes in-person interviews as part of the selection process. The first interview will take place at one of our office locations in Seattle, WA or San Francisco, CA. To be considered, candidates must be able to attend that in-person interview at one of these locations. Additional interviews may be conducted in-person or virtually, as determined by the hiring team. 

Your Role and Responsibilities 

Data Architecture & Engineering

  • Own the design and long-term architecture of the firm’s enterprise data warehouse and data pipelines  
  • Develop and maintain scalable SQL data models supporting firm metrics, critical data needs, client reporting, and operational analytics. 
  • Build and maintain ETL/ELT pipelines, replication strategies, and processes to align data across portfolio accounting, CRM, trading, and operational systems.  
  • Design data ingestion frameworks for large structured files, API integrations, and replication feeds.  

Reporting & Analytics Platforms

  • Maintain and optimize reporting infrastructure including Power BI, SSRS, and related semantic models.  
  • Partner with business leaders to deliver dashboards supporting firm metrics, revenue reporting, and operational insights.  
  • Develop & maintain Bulk Document Management Dashboard for portal delivery of performance reporting and other document types currently operationalized.  
  • Ensure reporting models are performant, well documented, and scalable.  

Data Governance & Quality

  • Establish standards for data quality, lineage, documentation, and lifecycle management.  
  • Implement monitoring and validation processes to ensure accuracy of critical financial and operational data.  
  • Partner with compliance and leadership to ensure proper governance and obfuscation of sensitive client data. 
  • Manage Data Backup and retention policies, Recovery Time Objectives (RTO). 

Integration, Automation, & Agentic AI

  • Design integration frameworks using SQL, APIs, and automation platforms such as Azure Data Factory (ADF), SSIS and Workato. 
  • Support data synchronization between systems including CRM, portfolio accounting, billing, and trading platforms. 
  • Leverage Autonomous AI into integration frameworks using MCP or 3rd party harnesses to support decision-driven automation and delivery. 
  • Enable LNW’s responsible use of AI and advanced analytics by ensuring enterprise data is accurate, well-structured, and accessible to analytical tools.  
  • Deliver high-quality datasets for AI consumption, implementing governance and lineage controls to ensure trustworthy outputs, and supporting integration with platforms such as Microsoft Copilot, Power BI AI features, and other approved analytical tools.  
  • Automate data processing workflows to improve operational efficiency and reduce manual intervention. 

More About You 

Experience and Education

  • 7+ years of experience in data engineering, data architecture, or data warehouse development. 
  • Expert-level SQL skills with deep experience designing relational data models. 
  • Strong experience with Salesforce SOQL, SQL Stored Procedures, Views, Keys, Indexes and Constraints. 
  • Strong experience with data warehouse architecture and ETL/ELT pipeline design. 
  • Hands-on experience with reporting tools such as Power BI and SSRS. 
  • Experience integrating enterprise SaaS platforms using APIs and automation tools. 
  • Strong analytical thinking and ability to translate business reporting needs into scalable data models. 

Preferred Skills & Attributes

  • Experience in wealth management, investment management, or financial services. 
  • Experience with portfolio accounting systems, CRM platforms, and trading systems. 
  • Experience managing enterprise data warehouses on Microsoft SQL Server. 
  • Experience with SSIS, Python data pipelines, and/or similar integration tools. 

Candidates must meet all employment qualifications in force at time of hiring, including successful passing of background & credit checks and any pre-employment examinations, signing of all employee agreements, and have the ability to perform the essential functions, duties and responsibilities set forth in a consistent and efficient manner.Reports to: Chief Operating Officer and General Counsel 

Compensation and Benefits   

We provide a competitive salary commensurate with your experience and skills and offer an annual bonus based on company and individual performance. The hiring salary range for this position in Seattle is $115,000 to $150,000, in San Francisco is $130,000 to $170,000, and Remote from $100,000 to $135,000, depending on experience.   

The salary range applies to the current posting and may change in the future. The range may vary based on key factors such as education, job-related knowledge, experience, skill set, and geographic location.   

We offer excellent benefits including medical, dental and vision coverage, generous time off (including sabbaticals), flexible spending plans for health care and dependent care, 401(k) plan, educational reimbursements. For details of all benefits, please visit our website here. 

About Us   

For more than five decades, Laird Norton Wetherby (LNW) has served the interests of exceptional families and individuals. As both an RIA and trust company, LNW offers a full spectrum of specialized wealth & legacy planning, investment management and trust & estate services that advance the aspirations and long-term, multigenerational financial ambitions of its clients. LNW has offices in Seattle, San Francisco, New York, Los Angeles and Philadelphia, as well as an affiliate trust company in South Dakota, empowering clients across the U.S.   

LNW is majority owned by Laird Norton Company, one of the longest-sustained family enterprises in the United States, as well as by active employees.   

Additional Information   

Our firm aims to cultivate an inclusive environment and culture that fosters growth, collaboration and acceptance; where we celebrate the diverse voices and perspectives of our employees; and where employees feel empowered to bring their full, authentic selves. Our diversity drives us forward and helps us build deeper relationships with our clients and our community.   

The firm is an equal opportunity employer and prohibits discrimination against employees, applicants for employment, individuals providing services in the workplace pursuant to a contract, unpaid interns and volunteers based on their actual or perceived sexual orientation, gender, gender identity, gender expression, ancestry, marital status, registered domestic partner status, military and veteran status, civil air patrol status, national origin, immigration status, pregnancy (including childbirth and related medical conditions, and including medical conditions related to lactation) or medical condition (cancer and genetic characteristics).  
 
*As of 04/13/2026 
#Li-Hybrid

Employment Type: FULL_TIME