1

Enterprise Data Warehouse Manager Jobs (NOW HIRING)

next page

Showing results 1-20

Enterprise Data Warehouse Manager information

See salary details

$25K

$125.9K

$171K

How much do enterprise data warehouse manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for enterprise data warehouse manager in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Enterprise Data Warehouse Manager jobs?

Cities with the most Enterprise Data Warehouse Manager job openings:

What states have the most Enterprise Data Warehouse Manager jobs?

States with the most job openings for Enterprise Data Warehouse Manager jobs include:

What are popular job titles related to Enterprise Data Warehouse Manager jobs?

For Enterprise Data Warehouse Manager jobs, the most frequently searched job titles are:

Infographic showing various Enterprise Data Warehouse Manager job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 6% Part Time, 1% Temporary, 12% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.

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

Remote

The Dignify Solutions, LLC
IT Services • 51 - 200 employees

Full-time

Re-posted 24 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.

Dignify Solutions logo

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