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Manager Data Architecture Jobs in Renton, WA (NOW HIRING)

Lancesoft

Information/Data Architecture

Seattle, WA · On-site

$86.53/hr

Role Data Architecture Location Seattle, WA(Onsite) Duration 12+ months (Possible extension or ... You will map incoming and changing source data to the UDM, manage and define data transformation ...

Pwc

Data Engineer - Manager

Seattle, WA

Responsibilities - Design and implement thorough data architecture strategies - Lead the ... in Management Information Systems, Computer and Information Science, Systems Engineering ...

TerraPower

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

Required : • 9+ years of experience in data architecture, data engineering, or a related ... management, data quality, and lineage. • Experience collaborating with security and ...

Costco Wholesale

Data Architect

Seattle, WA · On-site

$72.50 - $93.25/hr

... data architecture strategies to support the replatforming of core ERP/MRP systems, ensuring data ... Preferred : • Experience in information privacy, data compliance, and risk management. • CDMP ...

Deegit Inc

Data Security Architect - Seattle, WA

Seattle, WA · On-site

$72.50 - $93.25/hr

... Warehouse) Data Architecture team focused on T-Mobile's latest Hadoop/Teradata Data Warehouse ... unit management team to determine technical information security requirements and planned ...

Pwc

Data Engineer - Senior Manager

Seattle, WA

$124K - $280K/yr

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large ...

TerraPower LLC.

Data Architect

Bellevue, WA · On-site

$72 - $92.50/hr

Define and maintain a data catalog, data dictionary, and metadata management framework * Develop ... Architecture & Design * Design and evolve the enterprise data lake into a data lakehouse ...

TerraPower LLC.

Data Architect

Bellevue, WA · Hybrid

$72 - $92.50/hr

Define and maintain a data catalog, data dictionary, and metadata management framework * Develop ... Architecture & Design * Design and evolve the enterprise data lake into a data lakehouse ...

Reply

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Experience setting end-to-end modern data platforms in Azure including architecture/design ... Experience establishing data management strategy for customers, including data governance, data ...

Reply

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Experience setting end-to-end modern data platforms in Azure including architecture/design ... Experience establishing data management strategy for customers, including data governance, data ...

Sila

Technical Program Manager - Data Delivery

Seattle, WA · On-site

$85K - $120K/yr

Define and manage program roadmaps, work breakdown structures, milestones, and dependencies ... Partner closely with architects to align on integration approaches, data architecture, and delivery ...

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All JobsManager Data Architecture JobsManager Data Architecture Jobs in Renton, WA

Manager Data Architecture information

See Renton, WA salary details

$129.4K

$197.6K

$294.1K

How much do manager data architecture jobs pay per year?

As of May 30, 2026, the average yearly pay for manager data architecture in Renton, WA is $197,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $183,300.00 and $204,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Architecture, and why are they important?

To thrive as a Manager Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, typically backed by a degree in computer science or a related field. Proficiency with tools like SQL, data warehousing platforms (e.g., Snowflake, Redshift), and frameworks such as TOGAF, along with relevant certifications, is often required. Strong leadership, communication, and problem-solving skills help drive cross-functional collaboration and guide data architecture teams. These competencies are critical for ensuring scalable, secure, and efficient data solutions that support business goals.

What are some common challenges faced by a Manager Data Architecture, and how can they be effectively addressed?

A Manager Data Architecture often faces challenges like integrating data from disparate sources, ensuring data quality, and aligning data strategies with evolving business goals. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data governance teams to create robust data models and clear documentation. Proactively staying updated on emerging technologies and industry best practices also helps in anticipating potential roadblocks and implementing scalable, future-proof solutions.

What does a Manager Data Architecture do?

A Manager Data Architecture oversees the design, implementation, and maintenance of an organization's data systems and structures. They ensure data is stored, managed, and accessed efficiently and securely, aligning data solutions with business needs. This role involves leading a team of data architects, collaborating with IT and business stakeholders, and setting data governance standards. They are critical in enabling data-driven decision making and supporting digital transformation initiatives within an organization.

What is the difference between Manager Data Architecture vs Data Engineer?

AspectManager Data ArchitectureData Engineer
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often certifications in data architecture or cloud platformsBachelor's in Computer Science, Software Engineering, or related; certifications in data engineering or cloud services are common
Work EnvironmentOversees data teams, designs data systems, collaborates with stakeholders, and manages data architecture projectsBuilds, develops, and maintains data pipelines, works with large datasets, and implements data solutions
Employer & Industry UsageUsed in organizations with complex data needs, including finance, healthcare, and tech companiesCommon in tech firms, startups, and any company with data infrastructure needs

The main difference is that a Manager Data Architecture focuses on designing and overseeing data systems and strategies, while a Data Engineer primarily builds and maintains the data pipelines and infrastructure. Both roles require strong technical skills, but the manager role emphasizes leadership and strategic planning.

What job categories do people searching Manager Data Architecture jobs in Renton, WA look for? The top searched job categories for Manager Data Architecture jobs in Renton, WA are:
What cities near Renton, WA are hiring for Manager Data Architecture jobs? Cities near Renton, WA with the most Manager Data Architecture job openings:
Manager Data Architecture jobs near you
Infographic showing various Manager Data Architecture job openings in Renton, WA as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 45% Physical, 3% Hybrid, and 52% Remote job distribution, with an average salary of $197,582 per year, or $95 per hour.
Information/Data Architecture

Information/Data Architecture

Lancesoft

Seattle, WA • On-site

$86.53/hr

Full-time

Posted 26 days ago

Job description

Job Description
Role Data Architecture Location Seattle, WA(Onsite) Duration 12+ months (Possible extension or Conversion) Shift Monday -Friday;8 am -4: 30 pm Pay Range $60 -$86 per hour on W2 (All inclusive)
Job Description:
Qualifications:
Information Digital Technology & Security is seeking a Senior Data Architect to join the Performance Training Analytics (PTA) application team, supporting the, Global Services Training Solutions organization. This position is based out of Seattle, WA. Be part of a high performing software engineering organization focused on transforming the aviation training industry through Competency Based Training and Assessment (CBTA) digital solutions.
In this role, your responsibility will be to leverage Unified Data Modeling (UDM) to design and govern data models, process layers, transformations, routing, and schema evolution for the data lake built on Azure Databricks and Microsoft Azure. You will map incoming and changing source data to the UDM, manage and define data transformation rules, and collaborate closely with distributed data engineering teams (including team members in India) to implement robust, scalable data pipelines and governance.
Position Responsibilities:
  • Design, document, and maintain the Unified Data Model (UDM) artifacts and mappings.
  • Model process layers in the data lake, 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 data lake.
  • 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.

This position is On Site.
Describe the project/day-to-day activities they will be working on:
Designing, improving, communicating, and managing data and data models for training analytics application.
What are the Top 3-5 Technical/Software Skills needed to perform this role/job?:
Unified Data Model (UDM)
Data Lakehouse concepts
Business intelligence analytical understanding
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.

Meet Your Recruiter
Krish Vijayvargiya
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About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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