[Hiring] Manager, Data Management @Internova Travel Group

Role Description

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. 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.

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 tools and techniques used to build scalable cloud data platforms.
• Experience building and supporting integrations using APIs, event-driven or file-based data exchange, and operational-to-analytical data movement patterns.
• Working knowledge of Master Data Management concepts and platforms, including data quality, mastering, matching, survivorship, hierarchy management, and stewardship workflows.
• Experience with DevOps and delivery practices using tools such as Azure DevOps, Git repositories, CI/CD pipelines, and Agile delivery methods.
• Understanding of data governance, metadata, lineage, cataloging, quality controls, and security models such as Azure AD and role-based access.
• Proven ability to lead teams, manage multiple initiatives, define architecture direction, and drive delivery in complex enterprise environments.
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language.
• Self-starter with strong analytical and problem-solving skills and the ability to independently identify root causes, evaluate options, and implement scalable solutions.

Requirements

• Experience in the travel industry (desired but not required).
• Experience with Master Data Management platforms such as Profisee or comparable tools (desired but not required).
• Microsoft Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or related cloud certifications (desired but not required).
• Experience with data governance and catalog tools such as Microsoft Purview (desired but not required).
• Familiarity with project and work management tools such as Jira, Confluence, and SharePoint (desired but not required).
• Experience managing offshore, remote, or hybrid delivery teams (desired but not required).
• Exposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is a plus (desired but not required).

Benefits

• Choice of two medical plans and two dental plans.
• Vision insurance.
• Flexible spending accounts (FSAs).
• Company-paid life insurance and AD&D.
• Optional additional life insurance and AD&D.
• Disability insurance.
• Paid parental leave.
• Paid time off.
• 401k Plan with company match.
• Discounted employee travel options.
• Access to LinkedIn Learning webinars and courses.
• Discounted pet insurance and auto, home, & renters insurance.