Manager, Data Management

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the architecture, implementation, support, and advancement of enterprise data platforms, encompassing Master Data Management solutions and extensive cloud-based data services.

• Take ownership of the technical direction for the MDM platform, which includes data models, integration patterns, survivorship rules, matching, workflow, stewardship, and data quality processes.

• Define and progress the long-term architecture for contemporary big data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and cloud-native data processing frameworks.

• Lead and mentor data engineers and developers throughout architecture, design, development, deployment, platform operations, production support, and systems integration.

• Design and supervise integrations between data platforms, operational systems, and analytical platforms utilizing APIs, ETL/ELT pipelines, Azure Data Factory, Function Apps, Logic Apps, and related cloud services.

• Establish architectural standards and engineering best practices for ingestion, transformation, orchestration, storage, semantic modeling, observability, and security.

• Manage projects and initiatives within the Data Management group utilizing Big Data technologies and associated platforms.

• Oversee current applications and maintain ownership and responsibility for data applications, databases, and services.

• Develop 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 discipline.

• 7+ years of progressive experience in data architecture, data engineering, big data platforms, data integration, MDM, or related fields.

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

• Extensive experience in designing modern enterprise data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and distributed data processing frameworks.

• Hands-on proficiency with Azure Data Lake Storage, Azure Databricks, Azure SQL Database, Azure Data Factory, Microsoft Fabric, Snowflake, or similar services.

• Strong experience with Azure Function Apps, Azure Logic Apps, Azure Kubernetes Service (AKS), and Azure Databricks.

• In-depth knowledge of data modeling, data architecture, ETL/ELT design, pipeline orchestration, and both batch and streaming integration patterns.

• Experience with Spark-based processing, SQL, Python, or other modern data engineering tools and methodologies.

• Proficient in building and supporting integrations using APIs, event-driven or file-based data exchange, and operational-to-analytical data movement patterns.

• Familiarity with Master Data Management concepts and platforms, including data quality, mastering, matching, survivorship, hierarchy management, and stewardship workflows.

• Experience with DevOps and delivery practices utilizing Azure DevOps, Git repositories, CI/CD pipelines, and Agile delivery methodologies.

• Understanding of data governance, metadata, lineage, cataloging, quality controls, and security models such as Azure AD and role-based access.

• Demonstrated ability to lead teams, manage multiple initiatives, define architectural direction, and drive delivery in complex enterprise environments.

• Exceptional communication and stakeholder management skills, with the capability to translate intricate technical concepts into clear business language.

• Strong analytical and problem-solving abilities, including the independent identification of root causes, evaluation of options, and implementation of scalable solutions.

• Experience in the travel industry is preferred but not mandatory.

• Familiarity with Profisee or similar Master Data Management platforms is advantageous but not required.

• Microsoft Azure certifications are a plus but not essential.

• Experience with Microsoft Purview is desirable but not mandatory.

• Familiarity with Jira, Confluence, and SharePoint is a plus but not required.

• Experience managing offshore, remote, or hybrid delivery teams is favorable but not necessary.

• Exposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is an asset.

🏝️ Benefits

• Choice of two medical plans.

• Two dental plans available.

• Vision insurance coverage.

• Flexible spending accounts (FSAs).

• Company-paid life insurance and AD&D.

• Optional additional life insurance and AD&D.

• Disability insurance provided.

• Paid parental leave offered.

• Paid time off benefits.

• 401k Plan with company matching.

• Discounted employee travel options available.

• Access to LinkedIn Learning webinars and courses.

• Discounted pet insurance options.

• Discounted auto, home, and renters insurance.

• Eligibility for incentives, commissions, bonuses, or a discretionary bonus program based on the company’s financial goals and individual performance.