Manager, Data Management

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Internova Travel Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📦 Logistics

🏨 Hospitality

✈️ Travel

Logistics • Hospitality • Travel

Internova Travel Group is a prominent travel services company specializing in providing a range of travel-related solutions. The company offers services such as leisure travel, corporate travel management, and cruise travel, catering to diverse client needs. With a strong focus on customer satisfaction and innovative travel experiences, Internova aims to enhance the way people travel and explore the world.

📋 Description

• 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 • Lead and guide data engineers and developers across architecture, design, development, deployment, platform operations, production support, and systems integration • 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 ingestion, transformation, orchestration, storage, semantic modeling, observability, and security • Manage projects and initiatives within the Data Management group using Big Data technologies and related platforms • Oversee existing applications and maintain ownership and accountability for data applications, databases, and services • Build and manage robust solutions in Azure-based cloud deployments of Big Data platforms

🎯 Requirements

• 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 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 • 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 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 • Strong analytical and problem-solving skills, including independently identifying root causes, evaluating options, and implementing scalable solutions • Experience in the travel industry is desired but not required • Experience with Profisee or comparable Master Data Management platforms is desired but not required • Microsoft Azure certifications are desired but not required • Experience with Microsoft Purview is desired but not required • Familiarity with Jira, Confluence, and SharePoint is desired but not required • Experience managing offshore, remote, or hybrid delivery teams is desired but not required • Exposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is a plus

🏖️ Benefits

• Choice of two medical plans • 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 • Discounted auto, home, & renters insurance • May be eligible for an incentive, commission, bonus, or a discretionary bonus program based on the company’s financial goal achievement and individual performance