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Enterprise Data Warehouse Jobs (NOW HIRING)

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 ...

Sralab

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 ...

KēSTA I.T.

Data Warehouse Architect

Lansing, MI · On-site

$80 - $100/hr

Responsibilities: · Develop and maintain enterprise data platform architectures that are scalable, reliable, secure, and aligned with business, application, and technology strategies. · Lead the ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

This role will involve gathering and analyzing business requirements, designing and managing enterprise data warehouse solutions, and developing analytics and reporting capabilities within a ...

Apex Informatics

Data Warehouse Developer

New York, NY · On-site

$54 - $73.75/hr

Sr Enterprise Data Warehouse Developer NYC (hybrd role) Look candidates within NY Must-haves: Data Warehousing expert Sourcing data, transforming data, star schema, landing, dimensions, data ...

New England Life Care

Data Warehouse Developer

Canton, MA · On-site

$120K - $139K/yr

New England Life Care is seeking a qualified Data Warehouse Developer to support the design, development, and ongoing maintenance of the organization's enterprise data warehouse 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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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 50% Full Time, 17% Temporary, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Technical Lead - Medicaid Enterprise Data Warehouse (MEDW) - Remote

The Dignify Solutions, LLC

Remote

Full-time

Re-posted 21 days ago

Job description

Job Summary:
The Dignify Solutions, LLC is a company focused on Medicaid data solutions, and they are seeking a Technical Lead for their Medicaid Enterprise Data Warehouse. The role involves leading the design and implementation of the data warehouse architecture, ensuring compliance with data standards, and providing technical guidance to the data engineering team.
Responsibilities:
• Lead the design, implementation, and maintenance of the Medicaid Enterprise Data Warehouse architecture (data models, ETL/ELT pipelines, metadata, and BI layers).
• Define and enforce data architecture standards, integration patterns, and performance optimization strategies.
• Collaborate with the Data Warehouse Manager and Enterprise Architect to align MEDW technical design with enterprise data strategy and Medicaid business needs.
• Provide technical guidance and code reviews for data engineers and developers.
• Oversee the development and optimization of ETL/ELT processes to extract, transform, and load data from MMIS, MCOs, and other Medicaid source systems.
• Design and maintain logical and physical data models, ensuring scalability and compliance with Medicaid and CMS data standards.
• Implement data validation, quality control, and reconciliation processes for inbound and outbound data exchanges.
• Ensure the accuracy and timeliness of data used for analytics, dashboards, and CMS reporting (e.g., T-MSIS, CMS-64, CMS-21).
• Implement and enforce data governance, lineage tracking, and metadata management standards.
• Ensure compliance with HIPAA, CMS, and state data security and privacy requirements.
• Collaborate with information security teams to manage user access, encryption, and audit processes.
Qualifications:
Required:
• Lead the design, implementation, and maintenance of the Medicaid Enterprise Data Warehouse architecture (data models, ETL/ELT pipelines, metadata, and BI layers).
• Define and enforce data architecture standards, integration patterns, and performance optimization strategies.
• Collaborate with the Data Warehouse Manager and Enterprise Architect to align MEDW technical design with enterprise data strategy and Medicaid business needs.
• Provide technical guidance and code reviews for data engineers and developers.
• Oversee the development and optimization of ETL/ELT processes to extract, transform, and load data from MMIS, MCOs, and other Medicaid source systems.
• Design and maintain logical and physical data models, ensuring scalability and compliance with Medicaid and CMS data standards.
• Implement data validation, quality control, and reconciliation processes for inbound and outbound data exchanges.
• Ensure the accuracy and timeliness of data used for analytics, dashboards, and CMS reporting (e.g., T-MSIS, CMS-64, CMS-21).
• Implement and enforce data governance, lineage tracking, and metadata management standards.
• Ensure compliance with HIPAA, CMS, and state data security and privacy requirements.
• Collaborate with information security teams to manage user access, encryption, and audit processes.
Company:
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

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