Data Platform & MDM Manager in Azure Cloud

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Discountedemployee travel

LinkedIn Learning access

Company 401(k) match

Job summary

Internova is seeking a Manager, Data Management to lead architecture, design, and delivery of enterprise data platforms in Azure cloud. You will steer Master Data Management, data models, integration patterns, and quality workflows while guiding a team of data engineers and developers across ETL/ELT pipelines and API integrations.

The role emphasizes leadership, strategic direction, and governance of data across lakes, lakehouses, and analytics platforms in a large travel services environment.

Qualifications

• BA/BS or master’s degree in Computer Science, Information Systems, Engineering, or a related field.

Responsibilities

• Lead architecture, design, delivery, and evolution of enterprise data platforms.
• Own the MDM platform data models, integration, survivorship, and quality processes.
• Define long-term architecture for modern big data platforms (data lakes/lakehouses).
• Provide leadership to data engineers and developers in architecture, design, deployment and operations.
• Oversee integrations between data platforms, operational and analytical systems using APIs and ETL/ELT pipelines.

Skills

Data architecture

Leadership

Cloud computing

Azure ecosystem

ETL/ELT

Python/SQL

Stakeholder management

Education

BA/BS or MS in CS/IS/Engineering or related field

Tools

Azure Data Factory

Azure Databricks

Azure SQL Database

Azure Functions

Azure AKS

Job description

Internova is seeking a Manager, Data Management to lead architecture, design, and delivery of enterprise data platforms in Azure cloud. You will steer Master Data Management, data models, integration patterns, and quality workflows while guiding a team of data engineers and developers across ETL/ELT pipelines and API integrations.

The role emphasizes leadership, strategic direction, and governance of data across lakes, lakehouses, and analytics platforms in a large travel services environment.