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Data Warehouse Manager Jobs (NOW HIRING)

Cadence

Data Warehouse Engineer

San Jose, CA · On-site

... • Data Management: Ensuring data integrity, security, and consistency across multiple ... Developing and providing reports and dashboards based on data warehouse data. Qualifications

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Responsible for Data Warehouse change management infrastructure and all promotions of code and ddl; performing build engineer tasks for both manual and automated promotion processes. * Responsibility ...

Sralab

Sr Data Warehouse Architect

Chicago, IL · On-site

Data Management & Optimization * Ensure data architecture supports all Data Sets (types), and ... Monitor data warehouse performance and resolve bottlenecks and/or data quality issues. * Ensure ...

Enovis

OR · On-site

BI & Data Warehouse Project Manager Reports To: Director BI/AI Analytics Job Title/High-Level Position Summary: Seeking a BI & Data Warehouse Project Manager as a senior individual contributor who ...

TestingXperts

Data Warehouse Testing

Torrance, CA · On-site

$18.50 - $24/hr

Title: Data Warehouse Testing Location: Torrance, CA Duration: 6+ Months Must Have Skills ... Manage large portfolios with multiple projects * Work with Business and other stakeholders to ...

Enovis

BI & Data Warehouse Project Manager

BI & Data Warehouse Project Manager Reports To: Director BI/AI Analytics Job Title/High-Level Position Summary: Seeking a BI & Data Warehouse Project Manager as a senior individual contributor who ...

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Data Warehouse Manager information

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$25K

$125.9K

$171K

How much do data warehouse manager jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data warehouse manager in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Warehouse Manager, you need expertise in data warehousing concepts, database management, and business intelligence, typically backed by a degree in computer science or related field. Familiarity with tools like SQL, ETL platforms, data modeling software, and certifications such as AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer are highly valuable. Strong leadership, problem-solving, and communication skills help manage teams and collaborate with stakeholders effectively. These skills ensure efficient data storage, retrieval, and analysis, which are critical for informed business decision-making.

What does a Data Warehouse Manager do?

A Data Warehouse Manager oversees the design, implementation, and maintenance of data warehouse systems within an organization. They ensure that large volumes of data are stored securely, efficiently, and are easily accessible for analysis and reporting. Their responsibilities often include managing data integration from various sources, ensuring data quality, and leading a team of data professionals. They also collaborate with business stakeholders to understand data needs and support decision-making processes.

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

AspectData Warehouse ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMP or DAMABachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentOversees data warehouse teams, manages data infrastructure, collaborates with IT and data engineersAnalyzes data sets, creates reports, visualizations, and provides insights to business teams
Employer & Industry UsageUsed in organizations with large data infrastructure, primarily in IT, finance, healthcareUsed across industries for business intelligence, marketing, finance, and operations

The Data Warehouse Manager focuses on overseeing data storage, architecture, and team management, ensuring data systems run efficiently. In contrast, the Data Analyst interprets data to generate insights and reports for decision-making. Both roles require strong data skills but serve different functions within an organization.

What are some common challenges faced by Data Warehouse Managers, and how can they be addressed?

Data Warehouse Managers often face challenges such as integrating data from diverse sources, ensuring data quality and consistency, and keeping up with rapidly evolving technologies. These issues can be managed by implementing robust data governance practices, standardizing data models, and fostering strong collaboration between IT teams, business analysts, and stakeholders. Additionally, staying current with industry trends and investing in continuous team training can help address technology and skill gaps.
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Data Warehouse Manager jobs near you
Data Warehouse Engineer

Data Warehouse Engineer

Cadence Design Systems, Inc.

San Jose, CA • On-site

$101K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
A hardworking, highly motivated Data warehouse engineer and should have collaboration skills, ability to work across multiple domains and software disciplines to achieve results. This is an experienced and hands-on Data Warehouse developer position that requires research, analysis, design, and development of solutions per our business requirements.
To work closely with business users, collect business requirements, prepare design documents, develop ETL logic and validation scripts to ensure 100% data accuracy, design security control, and deploy and monitor solutions in
production.
Role: Data Warehouse Engineer
Location: San Jose, CA (onsite position)
Key Responsibilities
• Data Modelling - Designing and developing data models to efficiently store and retrieve information.
• ETL Development - Creating and optimizing ETL processes to extract, transform, and load data from various sources ensuring data consistency and quality
• Design, implement and maintain Data Pipelines using ADF
• Database Design and Implementation: Designing and implementing relational and multidimensional database structures within the data warehouse.
• SQL Query Development: Writing efficient SQL queries, stored procedures, and functions to extract, manipulate, and analyze data.
• Database/ Performance Optimization: Optimizing database performance through indexing, query tuning, and other optimization techniques.
• Data Management: Ensuring data integrity, security, and consistency across multiple environments.
• Troubleshooting and Problem Solving: Troubleshooting and resolving Datawarehouse-related issues and errors.
• Reporting and Analysis: Developing and providing reports and dashboards based on data warehouse data.
Skills and Qualifications:
• 7+ years of experience in DW/BI space in both designing the model and building analytics. At least executed two end-to-end implementations. At least worked for min. 2 year in Azure SQL and ADF
• SQL / Relational Database Proficiency: Strong knowledge of SQL syntax, database design principles, and SQL Server, Oracle or other database systems.
• Data Management: Experience with data modeling, data warehousing, and ETL (Extract, Transform, Load) processes
• Proficient in Infor Omni-Channel Campaign Management- Enterprise Marketing Suite - creating jobs, ETL process in Infor Admin, setting up jobs, creation of reports, creating/updating users and Groups
• Preferred Understanding of IBM WAS (Web Application server) - node agents, manager, applications
• Strong understanding of Azure Data Factory: Expert-level knowledge of Azure Data Factory's features, capabilities, and best practices.
• Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory)
• Understanding of data analysis principles and reporting techniques.
• Preferred knowledge of python, Pentaho, or shell scripting
• Problem-solving and Analytical Skills: Ability to identify and resolve data warehouse issues and analyze complex data sets.
• Communication Skills: Ability to communicate technical concepts to both technical and non-technical audiences.
• Functional knowledge of common business processes like quote to cash, clickstream analysis, revenue, booking, billing, etc. is desirable.
Education: Bachelor's degree in computer science, a related field or equivalent experience.
The annual salary range for California is $101,500-$188,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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