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Warehouse Design Jobs in Texas (NOW HIRING)

Tata Consultancy Service Limited

Architect

Addison, TX · On-site

$90K - $140K/yr

Design and maintain data warehouses to support business intelligence activities. • Performance Optimization: Optimize SQL script/queries for speed and efficiency. • Troubleshooting: Identify and ...

Tata Consultancy Service Limited

Architect

Addison, TX · On-site

$90K - $140K/yr

Design and maintain data warehouses to support business intelligence activities. • Performance Optimization: Optimize SQL script/queries for speed and efficiency. • Troubleshooting: Identify and ...

Premier Cloud

Customer Engineer, Data & Analytics

Austin, TX · On-site

$113K - $136K/yr

Required : • Proven experience in designing, building, and deploying data solutions on GCP. • Strong expertise in SQL, data warehouse design, and data pipeline development. • Understanding of ...

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Warehouse Design information

What is warehouse design?

Warehouse design is the process of planning and organizing the layout, infrastructure, and operations of a warehouse to optimize storage, workflow, and efficiency. It involves determining the best use of space, selecting equipment and storage systems, and planning the flow of goods and personnel. Effective warehouse design can reduce costs, improve inventory management, and enhance safety. Professionals in this field analyze factors such as product types, handling methods, and technology integration to create a facility that meets business needs.

What are the key skills and qualifications needed to thrive in warehouse design?

To thrive in Warehouse Design, you need expertise in logistics, spatial planning, supply chain management, and typically a degree in industrial engineering or a related field. Familiarity with CAD software, warehouse management systems (WMS), and data analytics tools is essential. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with stakeholders and optimize layouts. These skills ensure efficient warehouse operations, cost savings, and scalable solutions tailored to business needs.

What is the difference between Warehouse Design vs Warehouse Operations?

AspectWarehouse DesignWarehouse Operations
Primary FocusPlanning and layout of warehouse space, optimizing flow and storageManaging daily activities, inventory, and order fulfillment
Required SkillsLogistics planning, CAD software, spatial analysisInventory management, process coordination, equipment handling
Work EnvironmentOffice-based with site visits for planningWarehouse floor, active environment
CertificationsLogistics, supply chain, or industrial engineeringForklift certification, logistics or warehouse management certifications

Warehouse Design focuses on creating efficient warehouse layouts and optimizing space, while Warehouse Operations involves managing daily warehouse activities. Both roles are essential in the supply chain, with design professionals planning the infrastructure and operations staff executing daily tasks to ensure smooth functioning.

What are some common challenges faced by professionals working in warehouse design, and how can they be addressed?

Professionals in warehouse design often encounter challenges such as optimizing space utilization, ensuring smooth workflow, and integrating technology for inventory management. Balancing cost efficiency with flexibility for future growth can also be complex. These challenges can be addressed by collaborating closely with operations teams, leveraging warehouse management systems, and conducting thorough site analyses to create adaptable layouts that support both current and projected needs.

What are the requirements for warehouse design?

Warehouse design professionals need a strong understanding of space planning, safety regulations, and workflow optimization. Skills in CAD software, knowledge of inventory management systems, and adherence to industry standards are essential for creating efficient and compliant warehouse layouts.

What are popular job titles related to Warehouse Design jobs in Texas?

For Warehouse Design jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Warehouse Design jobs in Texas look for?

The top searched job categories for Warehouse Design jobs in Texas are:

Warehouse Design jobs near you
Infographic showing various Warehouse Design job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Data Warehouse Developer

Expert Technical Solutions

Irving, TX

$47.25 - $64.75/hr

Contractor

Re-posted 24 days ago

Job description

Senior Data Warehouse Engineer
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (4–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is a Fortune 500 Insurance company seeking a highly technical Senior Data Warehouse Engineer to help modernize and scale a large enterprise data environment supporting critical operational and supply chain functions. This individual will play a key role in designing and implementing a long-term data strategy that reduces reliance on transactional systems while improving data availability, reporting performance, and scalability.
The ideal candidate will have deep expertise across Oracle, SQL Server/Azure SQL, Snowflake, and Azure Data Factory, with the ability to architect efficient data movement and transformation processes for large, complex datasets. This role requires someone who can move beyond simply building pipelines and instead understand source system architecture, optimize data structures, and design scalable warehouse solutions capable of supporting enterprise analytics and reporting.
This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth.
Key Technologies
  • Azure Data Factory (ADF)
  • Azure SQL Database / SQL Server
  • Oracle PL/SQL
  • Snowflake
  • JSON Data Processing
  • REST APIs
  • Data Warehousing
  • Data Modeling
  • Power BI
Primary Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory.
  • Build and optimize enterprise data warehouse solutions supporting operational reporting and analytics.
  • Design and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.
  • Extract, transform, and load data from large-scale Oracle environments into Azure SQL and Snowflake platforms.
  • Analyze complex source systems and identify optimal approaches for data extraction, transformation, and storage.
  • Design and maintain dimensional data models, including star and snowflake schemas.
  • Transform semi-structured data, including complex JSON payloads, into consumable relational datasets.
  • Develop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external data sources.
  • Improve query performance through indexing strategies, partitioning, optimization, and database tuning.
  • Establish data engineering standards, best practices, naming conventions, and architectural guidelines.
  • Collaborate closely with business intelligence and reporting teams to ensure data accuracy, consistency, and performance.
  • Troubleshoot and resolve issues across ingestion, transformation, storage, and reporting layers.
  • Mentor team members and provide technical leadership on data engineering best practices.
Required Qualifications
  • 8+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
  • Advanced SQL expertise across Oracle, SQL Server/Azure SQL, and Snowflake.
  • Strong hands-on experience developing and supporting Azure Data Factory solutions.
  • Demonstrated experience working within large-scale enterprise data environments.
  • Deep understanding of incremental data processing methodologies, including UPSERT and MERGE patterns.
  • Strong Oracle PL/SQL development experience.
  • Experience designing and optimizing large-scale relational databases.
  • Proven ability to tune complex SQL queries and optimize database performance.
  • Experience working with JSON and other semi-structured data formats.
  • Experience integrating data from ERP systems, operational platforms, APIs, and external file-based sources.
  • Strong understanding of dimensional modeling concepts and enterprise data warehouse design.
  • Ability to evaluate source system structures and design efficient downstream data architectures.
Preferred Qualifications
  • Experience supporting supply chain, logistics, manufacturing, or operational data environments.
  • Experience working with large ERP platforms such as Oracle EBS or similar enterprise systems.
  • Experience implementing enterprise data modernization initiatives.
  • Exposure to Power BI and enterprise reporting solutions.
  • Experience with data governance, data quality, and master data management initiatives.
What Success Looks Like
  • Reduce reporting dependency on transactional production systems.
  • Improve reporting reliability and performance through optimized warehouse architecture.
  • Implement scalable incremental data ingestion and synchronization processes.
  • Create sustainable, maintainable data structures that support long-term business growth.
  • Establish engineering best practices that improve efficiency, consistency, and scalability across the data platform.