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Sql Server Data Warehouse Jobs (NOW HIRING)

Sonsoft Inc

SQL Server Data Architect

Austin, TX · On-site

Experience with SQL Server features like store indexes/partitioning, in live projects Good experience on SSRS Data warehousing knowledge and background Asp.net or MVC experience Experience with ...

Sonsoft Inc

SQL Server Data Architect

Austin, TX · On-site

Experience with SQL Server features like store indexes/partitioning, in live projects * Good ... Data warehousing knowledge and background * Asp.net or MVC experience * Experience with design and ...

Sonsoft Inc

SQL Server Data Architect

Austin, TX · On-site

Experience with SQL Server features like store indexes/partitioning, in live projects Good experience on SSRS Data warehousing knowledge and background Asp.net or MVC experience Experience with ...

INT Technologies

SQL Server Data Modeler

Jacksonville, FL · On-site

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

INT Technologies

SQL Server Data Modeler

Jacksonville, FL

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

INT Technologies

SQL Server Data Modeler

Jacksonville, FL · On-site

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

The South Plains

Database Warehouse Developer

Atlanta, GA · On-site

$47.25 - $65/hr

In this role, you will help design, develop, and maintain ETL processes and SQL Server data warehouse solutions that support critical business intelligence and analytics across the organization.

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How much do sql server data warehouse jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for sql server data warehouse in the United States is $57.36, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $63.22 per hour, depending on experience, location, and employer.

What is a SQL Server Data Warehouse?

A SQL Server Data Warehouse is a centralized repository built using Microsoft SQL Server technologies to store, consolidate, and analyze large volumes of data from different sources. It is designed to support business intelligence activities such as reporting, data analysis, and decision-making by organizing data into structures like star or snowflake schemas. The data warehouse enables organizations to efficiently query and extract insights, often incorporating ETL (Extract, Transform, Load) processes to ensure data quality and consistency.

What are the key skills and qualifications needed to thrive as a SQL Server Data Warehouse professional?

To thrive as a SQL Server Data Warehouse professional, you need expertise in database design, ETL processes, T-SQL programming, and data modeling, typically supported by a degree in computer science or related field. Familiarity with Microsoft SQL Server, SSIS, SSAS, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate is highly valuable. Strong analytical thinking, attention to detail, and effective communication help you interpret business requirements and collaborate with stakeholders. These skills ensure reliable data integration, efficient reporting, and support for data-driven decision making in organizations.

What are some typical challenges faced by SQL Server Data Warehouse professionals when working with large data sets?

SQL Server Data Warehouse professionals often encounter challenges related to optimizing query performance and managing data load processes as data volumes grow. Ensuring data integrity during ETL operations and designing scalable data models to support future business needs are also common concerns. Collaboration with BI developers, data analysts, and business stakeholders is essential to translate requirements into efficient data warehousing solutions. Staying updated with the latest SQL Server features and best practices can help in addressing these challenges effectively.

What is the difference between Sql Server Data Warehouse vs Data Analyst?

AspectSql Server Data WarehouseData Analyst
Primary RoleDesigning, developing, and managing data storage solutions for reporting and analysisInterpreting data, creating reports, and providing insights for decision-making
Required SkillsSQL, ETL processes, data modeling, database managementSQL, data visualization, statistical analysis, reporting tools
Work EnvironmentData warehouses, database servers, enterprise data systemsBusiness units, analytics teams, reporting platforms
CertificationsMicrosoft Certified: Data Engineer, SQL Server certificationsMicrosoft Certified: Data Analyst Associate, relevant analytics certifications

While a Sql Server Data Warehouse focuses on building and maintaining data storage systems, a Data Analyst interprets and analyzes data to generate insights. Both roles require SQL skills and often collaborate, but their core responsibilities differ significantly.

Is SQL Server good for data warehouses?

SQL Server is widely used for data warehousing due to its robust support for large-scale data storage, integration, and analysis features like SQL Server Integration Services (SSIS) and Analysis Services (SSAS). It offers high performance, scalability, and security, making it suitable for enterprise data warehouse environments. Data warehouse developers often leverage its tools and certifications to optimize data management and reporting tasks.

Is data warehouse a good career?

A career as a SQL Server Data Warehouse professional involves working with data integration, database design, and query optimization, often using tools like SQL Server, SSIS, and SSRS. It is a growing field with demand in industries that rely on large-scale data analysis and business intelligence. Developing skills in data modeling, ETL processes, and cloud platforms can enhance job prospects and career growth.
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What states have the most Sql Server Data Warehouse jobs?

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Sql Server Data Warehouse jobs near you
Infographic showing various Sql Server Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,317 per year, or $57.4 per hour.

SQL Server Datawarehouse Architect || Charlotte, NC || Fulltime || Onsite

Charlotte, NC • On-site

Smart IT Frame
Software Development • 51 - 200 employees
Learn more about Smart IT Frameexternal

Full-time

Re-posted 4 days ago

Job description

Role: SQL Server Datawarehouse Architect
Location: Charlotte, NC (Hybrid role – 3 days/week)
Fulltime
Urgent
 
Job Description:
A SQL Server Data Warehouse Architect designs and optimizes enterprise-level data storage solutions, mapping business needs to technical architectures. Key responsibilities include designing data models, tables, loading patterns, indexing strategies, optimizing SQL Server T-SQL performance, and ensuring data integrity. 
 
Core Responsibilities
  • Architectural Design: Develop end-to-end data warehouse structures within Microsoft SQL Server.
  • Data Modeling & ETL: Design logical/physical data models and robust ETL/ELT workflows.
  • Performance Optimization: Tune SQL queries, indexes, and stored procedures to ensure fast data retrieval.
  • Governance & Security: Define data standards, security policies, and documentation to ensure compliance.
  • Collaboration: Work with data engineers, analysts, and business stakeholders to translate needs into technical specifications. 
 
Key Qualifications
  • Experience: 10+ years in data warehousing, data engineering, or solution architecture.
  • Technical Expertise: Expert-level SQL Server (T-SQL) and query plan analysis.
  • Data Modeling: Proficient with data modeling and tools like ER/Studio or Erwin.