Manager, Data Management

Overview

Internova Travel Group is one of the largest travel services companies in the world with a collection of leading brands delivering high-touch, personal travel expertise to leisure and corporate clients. Internova manages leisure, business and franchise firms through a portfolio of distinctive divisions. Internova represents more than 100,000 travel advisors in over 6,000 company-owned and affiliated locations predominantly in the United States, Canada and the United Kingdom, with a presence in more than 80 countries. Click here for more information about Internova Travel Group .
Responsibilities

As a Manager, Data Management , you will lead the architecture, design, delivery, and ongoing evolution of the company’s enterprise data platforms, with Master Data Management serving as an important part of a broader modern data strategy. You will also be responsible for leading development efforts, managing various projects and initiatives within the Data Management group using Big Data technologies and related platforms, and overseeing existing applications. You will also undertake a leadership role in the ownership and accountability of all data applications, databases, and services. In this position, you will be expected to build and manage robust solutions in Azure-based cloud deployments of Big Data platforms. As a Manager, Data Management, you will lead a team of in-house and outsourced Data Engineers and developers in architecture, requirements, analysis, design, development, deployment and systems integration activities.

- Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services

- Own the technical direction for the MDM platform, including data models, integration patterns, survivorship rules, matching, workflow, stewardship, and data quality processes

- Define and advance the long-term architecture for modern big data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and cloud-native data processing frameworks

- Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities

- Design and oversee integrations between data platforms, operational systems, and analytical platforms using APIs, ETL/ELT pipelines, Azure Data Factory, Function Apps, Logic Apps, and related cloud services

- Establish architecture standards and engineering best practices for enterprise data platforms, including ingestion, transformation, orchestration, storage, semantic modeling, observability, and security

- Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities

Qualifications

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

- 7+ years of progressive experience in data architecture, data engineering, big data platforms, data integration, MDM, or related disciplines

- 5+ years of experience designing and delivering cloud-based data solutions in Microsoft Azure or comparable cloud platforms

- Strong experience designing modern enterprise data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and distributed data processing frameworks

- Hands-on experience with cloud data technologies such as Azure Data Lake Storage, Azure Databricks, Azure SQL Database, Azure Data Factory, Microsoft Fabric, Snowflake, or comparable services

- Solid experience in Azure Function Apps, Azure Logic Apps, Azure Kubernetes Service (AKS), and Azure Databricks

- Strong knowledge of data modeling, data architecture, ETL/ELT design, pipeline orchestration, and batch and streaming integration patterns

- Experience with Spark-based processing, SQL, Python, or other modern data engineering