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Enterprise Data Warehouse Jobs (NOW HIRING)

Doggett

Data Warehouse Architect

Houston, TX · On-site

Design, develop, and maintain the company's enterprise data warehouse architecture. * Define logical and physical data models that support operational reporting, business intelligence, and analytics.

Shirley Ryan AbilityLab

Sr Data Warehouse Architect

Summary The Senior Enterprise Data Warehouse Architect is responsible for designing, implementing, and maintaining enterprise-level data & database designs, supporting data warehousing and advanced ...

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Enterprise Data Warehouse information

What are some common challenges faced by professionals working in enterprise data warehouse roles?

Professionals in Enterprise Data Warehouse roles often encounter challenges such as ensuring data quality and consistency across multiple sources, managing large volumes of data efficiently, and adapting to evolving business requirements. Collaboration with cross-functional teams—including business analysts, data scientists, and IT staff—is essential to gather requirements and deliver accurate, timely insights. Additionally, staying updated with new technologies and best practices in data integration, storage, and security is crucial for long-term success and growth in this field.

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

AspectEnterprise Data WarehouseData Analyst
CredentialsTypically requires a degree in Computer Science, Data Management, or related fields; certifications like CDMP or DAMA are commonUsually holds a degree in Statistics, Business, or related fields; certifications like Microsoft Data Analyst or Tableau are beneficial
Work EnvironmentWorks with large-scale data systems, databases, and ETL processes within organizationsAnalyzes data sets, creates reports, and visualizations to support business decisions
Industry UsageUsed across industries for centralized data storage and managementUsed across industries for data analysis and reporting

The main difference is that an Enterprise Data Warehouse focuses on building and maintaining large data storage systems, while a Data Analyst interprets data to generate insights. Both roles require strong analytical skills, but their responsibilities and tools differ significantly.

What is an enterprise data warehouse?

An Enterprise Data Warehouse (EDW) is a centralized repository that stores integrated data from multiple sources across an organization. It enables businesses to consolidate, manage, and analyze large volumes of data for reporting, business intelligence, and decision-making. EDWs are designed to support queries and analysis while ensuring data consistency and quality. They play a crucial role in helping organizations gain insights from their data and improve overall efficiency.

What are the key skills and qualifications needed to thrive as an enterprise data warehouse professional?

To thrive as an Enterprise Data Warehouse professional, you need expertise in data modeling, SQL, ETL processes, and a strong understanding of database concepts, often supported by a degree in computer science or a related field. Familiarity with tools such as Informatica, Microsoft SQL Server, Oracle, or cloud-based platforms like AWS Redshift and certifications in relevant technologies are highly beneficial. Analytical thinking, problem-solving, and effective communication are valuable soft skills for collaborating with stakeholders and addressing complex data needs. These skills are crucial for ensuring data integrity, optimizing data flow, and supporting informed business decisions through reliable data solutions.
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Enterprise Data Warehouse jobs near you
Infographic showing various Enterprise Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Enterprise Data Warehouse Lead

The Timberline Group

Saint Louis, MO • On-site, Remote

$17.75 - $22.50/hr

Full-time

Re-posted 22 hours ago

Job description


The Enterprise Data Warehouse Lead leads the data architecture to support Data and Analytics.He/She manages the daily activities of the team responsible for the design, implementation, maintenance, and support of data warehouse systems and related data repositories, ETL technology and data strategies.
Essential Job Functions:
  • Drive the vision, evolution, and innovation of the intelligent big data warehouse and data governance initiatives.
  • Collaborating with all leaders in the Data Analytics organization to define the right scope in which to deliver the right product at the right time.
  • Be a technical advisor working alongside the team to build a cohesive ecosystem of systems/services to advance the team charter.
  • Lead and grow an inclusive and high-performing team where everyone can contribute and make a difference to the team's mission.
  • Helping and enabling engineers to grow and flourish in a relatively flat engineering organization.
  • Routinely assesses processor and storage capacity across the various data warehouse and ETL platforms and forecasts growth.
  • Implements best practice change management protocols for a large-scale data warehousing environment.
  • Implements monitoring processes to ensure timely delivery of data to data warehouse.
  • Installs processes for auditing data warehouses and ensuring data quality.
  • Optimizes data warehouse performance.
  • Works collaboratively with both engineering teams, business partners and vendor partners.
  • Collaborating with partners to strategize, crystalize and build long-term roadmaps for ambiguous business needs.
  • Leading cross functional and cross team projects and bringing it to successful completion.
  • Building and operating large-scale distributed services for use by other teams; ideally with experience in cloud-based platforms.
  • Building and leading a team of engineers; ideally with experience leading remote employees.
Understanding team needs and learning new approaches to increase representation through additive hiring.
  • Exercising strong judgment and making thoughtful decisions with ambiguous situations. Striking the right balance between providing context vs. giving direction. Trading off short-term wins vs. long-term success based on various constraints.

Education/Experience:
  • Bachelor's degree in related field or equivalent experience
  • 8+ years data warehouse experience, including cloud technologies and iPaas
  • 2+ years of people management experience
  • Broad understanding of data architecture, dimensional data modeling, structured and unstructured data, data warehouse, data integration, ETL processes and analytics.
  • Deep working knowledge of SQL programming.
  • Deep knowledge of database integrity and security standards.

Preferred Skills
  • Experience with Boomi, PowerBI, SQL Server, Alteryx, and Netsuite
  • Experience working in an agile delivery framework and leading scrum teams.

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