Manager Data Management

Job Summary:
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.
Essential Duties and Responsibilities:
Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data servicesOwn the technical direction for the MDM platform, including data models, integration patterns, survivorship rules, matching, workflow, stewardship, and data quality processesDefine 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 frameworksProvide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activitiesDesign 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 servicesEstablish architecture standards and engineering best practices for enterprise data platforms, including ingestion, transformation, orchestration, storage, semantic modeling, observability, and securityProvide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities

Education, Knowledge and Skills:
Requirements
BA/BS or master’s degree in Computer Science, Information Systems, Engineering, or a related field7+ years of progressive experience in data architecture, data engineering, big data platforms, data integration, MDM, or related disciplines5+ years of experience designing and delivering cloud-based data solutions in Microsoft Azure or comparable cloud platformsStrong experience designing modern enterprise data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and distributed data processing frameworksHands-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 servicesSolid experience in Azure Function Apps, Azure Logic Apps, Azure Kubernetes Service (AKS), and Azure DatabricksStrong knowledge of data modeling, data architecture, ETL/ELT design, pipeline orchestration, and batch and streaming integration patternsExperience with Spark-based processing, SQL, Python, or other modern data engineering tools and techniques used to build scalable cloud data platformsExperience building and supporting integrations using APIs, event-driven or file-based data exchange, and operational-to-analytical data movement patternsWorking knowledge of Master Data Management concepts and platforms, including data quality, mastering, matching, survivorship, hierarchy management, and stewardship workflowsExperience with DevOps and delivery practices using tools such as Azure DevOps, Git repositories, CI/CD pipelines, and Agile delivery methodsUnderstanding of data governance, metadata, lineage, cataloging, quality controls, and security models such as Azure AD and role-based accessProven ability to lead teams, manage multiple initiatives, define architecture direction, and drive delivery in complex enterprise environmentsExcellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business languageSelf-starter with strong analytical and problem-solving skills and the ability to independently identify root causes, evaluate options, and implement scalable solutions
Desired but not requiredExperience in the travel industryExperience with Master Data Management platforms such as Profisee or comparable toolsMicrosoft Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or related cloud certificationsExperience with data governance and catalog tools such as Microsoft PurviewFamiliarity with project and work management tools such as Jira, Confluence, and SharePointExperience managing offshore, remote, or hybrid delivery teamsExposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is a plus