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Data Warehousing Manager Jobs in Bothell, WA (NOW HIRING)

Reply

Manager, Data Engineering

Seattle, WA

$160K - $190K/yr

... warehousing, data sharing, and Mosaic AI * Experience setting end-to-end modern data platforms in ... Experience establishing data management strategy for customers, including data governance, data ...

Reply

Manager, Data Engineering

Seattle, WA

$160K - $190K/yr

... warehousing, data sharing, and Mosaic AI * Experience setting end-to-end modern data platforms in ... Experience establishing data management strategy for customers, including data governance, data ...

Pwc

Data Engineer - Manager

Seattle, WA · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

Take ownership of team data architecture, including data warehouse design, providing system-wide ... and metadata management. * Build tools and frameworks to streamline data transformation and ...

QXO

Staff Software Engineer, Data

Seattle, WA

$130K - $156K/yr

Take ownership of team data architecture, including data warehouse design, providing system-wide ... and metadata management. * Build tools and frameworks to streamline data transformation and ...

Laird Norton Wetherby

Senior Data Architect

Seattle, WA · On-site

$76.50 - $102.50/hr

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 ...

Laird Norton Wetherby

Senior Data Architect

Seattle, WA · On-site

$76.50 - $102.50/hr

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 ...

Laird Norton Wetherby

Senior Data Architect

Seattle, WA · On-site

$76.50 - $102.50/hr

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 ...

Novoco

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Manage dependencies and sequencing across multiple source systems. Quality, Reliability ... data warehouse concepts. * Knowledge of data quality, data governance, security, and privacy ...

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Data Warehousing Manager information

What is a data warehousing manager?

Data Warehousing Managers are professionals responsible for overseeing the design, implementation, and maintenance of data warehouse systems within an organization. They lead teams that collect, store, and manage large volumes of data from various sources to support business analytics, reporting, and decision-making. Their role often includes ensuring data integrity, optimizing system performance, and coordinating with stakeholders to meet business requirements. Data Warehousing Managers also stay updated on new technologies and best practices to enhance data management processes.

What are the key skills and qualifications needed to thrive as a data warehousing manager?

To thrive as a Data Warehousing Manager, you need expertise in database management, ETL processes, data modeling, and a relevant degree in computer science or information systems. Familiarity with data warehousing platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as proficiency in tools such as Informatica and SQL, is typically required. Strong leadership, project management, and communication skills help in coordinating teams and aligning data strategies with business goals. These skills ensure optimal data storage, accessibility, and integrity, which are crucial for informed decision-making and organizational success.

What are some common challenges faced by data warehousing managers when working with cross-functional teams?

Data Warehousing Managers often collaborate with IT, business analysts, and data scientists to ensure that warehouse solutions meet organizational needs. One common challenge is aligning data requirements across departments, as different teams may have conflicting priorities or use inconsistent data definitions. Effective communication and strong project management skills are crucial to bridging these gaps and delivering solutions that are both technically sound and aligned with business goals. Additionally, managing expectations around data quality, integration timelines, and system performance can be demanding, but proactive stakeholder engagement and clear documentation can help mitigate these issues.

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

AspectData Warehousing ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; often certifications in data warehousing or database managementBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL, Tableau)
Work EnvironmentOversees data warehouse teams, manages infrastructure, and ensures data integrity in enterprise settingsAnalyzes data sets, creates reports, and provides insights primarily using analytical tools
Employer & Industry UsageUsed in large corporations, finance, healthcare, and retail for managing large-scale data systemsCommon across industries for business intelligence, marketing, and operations analysis

The Data Warehousing Manager focuses on overseeing data storage systems, infrastructure, and team management, ensuring data is accessible and reliable. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. Both roles require strong technical skills but differ in scope and responsibilities.

Is data warehousing a good career?

Data warehousing managers oversee the design, implementation, and maintenance of data storage systems that support business intelligence and analytics. The role requires strong technical skills in database management, SQL, and data modeling, and offers opportunities in various industries with competitive salaries and growth potential. It is considered a stable and in-demand career path for those with expertise in data management and related tools.

What cities near Bothell, WA are hiring for Data Warehousing Manager jobs?

Cities near Bothell, WA with the most Data Warehousing Manager job openings:

Data Warehousing Manager jobs near you
Infographic showing various Data Warehousing Manager job openings in Bothell, WA as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Manager, Data Engineering

Reply

Seattle, WA

$160K - $190K/yr

Full-time

Re-posted 28 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.

Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables
Minimum Requirements
  • Bachelor’s degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.