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Enterprise Data Warehouse Jobs (NOW HIRING)

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.

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Enterprise Data Warehouse information

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.

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.

Is data warehouse a good career?

A career as an enterprise data warehouse professional involves designing, developing, and maintaining data storage systems that support business analytics. It requires skills in SQL, data modeling, and tools like ETL processes and cloud platforms, offering opportunities in various industries with steady demand. The role can lead to advanced positions in data management, analytics, and data architecture.

What does an enterprise data warehouse do?

An enterprise data warehouse (EDW) is a centralized system that stores large volumes of integrated data from multiple sources, enabling organizations to analyze and generate reports for business decision-making. Data analysts and database administrators typically manage and optimize EDWs using tools like SQL and ETL processes to ensure data quality and accessibility.
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Infographic showing various Enterprise Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 17% Temporary, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Senior Manager Enterprise Data

First Citizens Bank

Phoenix, AZ

Full-time

Re-posted 6 days ago


Key responsibilities

  • Leads a team of associates to facilitate technical innovation and continuous improvement initiatives in enterprise data management.

  • Oversees activities related to enterprise data quality, governance, reporting, analytics, and data stewardship to support business functions.

  • Manages all Enterprise Data Warehouse activities, including data integration, lineage, controls, and documentation.


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 175 rated banks


Job description

Overview

Leads a team of associates who facilitate technical innovation and continuous improvement initiatives through enterprise data management. Directs initiatives that enhance enterprise data quality, governance, reporting, analytics, and data stewardship in support of Commercial Banking businesses, with a focus on Enterprise Lending and Enterprise Cards. Provides expert guidance and leadership to associates, management, and lines of business to deliver trusted, actionable data that supports portfolio management, client insights, operational efficiency, regulatory reporting, and strategic decision-making. Oversees all Enterprise Data Warehouse activities, including data integration, lineage, controls, and the creation and maintenance of related documentation. Partners with business and technology stakeholders to develop and implement data strategies, governance frameworks, and process improvements that advance data management objectives while supporting the growth and performance of Enterprise Lending and Enterprise Cards businesses and aligning with broader organizational goals


Responsibilities & Qualifications

Duties & Responsibilities:
Data Enhancement - Leads projects and process improvements that enhance the quality, management, and storage of enterprise data. Manages a team of associates who facilitate initiatives and data management. Directs activities that improve profiling, exception reporting, data analysis, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Delegates work tasks and makes adjustments as needed to ensure the appropriate data governance.
Business Support - Creates data policies and procedures to be used both within the department and enterprise-wide. Reviews feedback from associates in order to identify areas of improvement within data management capabilities. Oversees data validation and reporting to ensure the quality and completeness of data prior to business use. Directs the creation and maintenance of technical documentation for the Enterprise Data Warehouse. Makes modifications as necessary to Enterprise Data Warehouse processes in order to enhance efficiencies.
Managerial Functions - Establishes and monitors expectations to achieve company and department goals. Makes appropriate changes to team policies, procedures, and efficiencies in order to meet objectives. Manages the performance, training, and evaluation of assigned staff. Maximizes department achievements by providing professional development.
Business Strategy - Facilitates the implementation of process improvements and strategies that develop the Bank’s data management capabilities. Serves as an expert data resource to other management, associates, and project teams. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.


Position Specific Skills:
Understanding of data warehousing and transformation as well as extract, transform, and load processes
Knowledge of Cognos and SAS
Ability to write and understand SAS programming language
Knowledge of technologies and trends impacting the financial service and insurance industry


Qualifications:

Bachelor's Degree and 8 years of experience in Risk Management including Enterprise Data Warehouse OR High School Diploma or GED and 12 years of experience in Risk Management including Enterprise Data Warehouse

  • Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the financial service and insurance industry.
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Proven track record of leading agile data product delivery across cross-functional teams using agile frameworks such as Scrum, SAFe, or Kanban.
  • Domain expertise in Commercial Bank – Enterprise Lending, Enterprise Cards

#LI-XG1


Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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