Director Marketing Data Engineering

Hilton Grand Vacations•Orlando, FL

About The Position

Leads the strategy and execution of a modern marketing data ecosystem, consolidating customer and campaign data into an Azure Databricks Lakehouse to power segmentation, personalization, and go-to-market execution. Owns data pipelines, CDP enablement, and lead management capabilities while modernizing legacy processes and ensuring high-quality, scalable, and reliable data for marketing activation. Partners cross-functionally to translate business needs into data engineering solutions that drive growth and operational efficiency.

Requirements

Strong experience with Azure Databricks and modern cloud data platforms, including building scalable Lakehouse architectures and data pipelines
Proficiency in SQL and PySpark, with the ability to work across both modern big data environments and legacy relational systems
Hands-on experience integrating CRM, Martech platforms, and digital data sources into unified data models
Deep understanding of marketing data domains, including lead management, customer lifecycle, segmentation, and campaign execution
Experience supporting and enabling Customer Data Platforms, identity resolution, and customer 360 initiatives
Proven ability to modernize legacy SQL-based workflows and manual list pulls into automated, governed pipelines
Familiarity with ETL/ELT tools and orchestration frameworks across both modern and traditional stacks
Experience establishing and maintaining data quality, validation, and testing processes across mixed technology environments
Knowledge of data governance, access controls, and compliance considerations spanning legacy systems and modern platforms
Ability to translate marketing and business requirements into scalable technical solutions across evolving data ecosystems
Strong collaboration and communication skills to work effectively with Marketing, Analytics, and Technology stakeholders

Nice To Haves

Advanced degree in a related field or relevant certifications in Azure, Databricks, or data engineering
Experience working in a hybrid data environment (Databricks alongside legacy data warehouses such as SQL Server)
Background in B2B marketing data ecosystems, including lead routing, scoring, and pipeline attribution
Prior experience supporting or implementing enterprise CDP platforms
Familiarity with MarTech stack integrations (Google/Adobe Analytics, etc.)
Experience with data orchestration and workflow tools (e.g., Azure Data Factory) in production environments
Knowledge of real-time or event-driven data processing for marketing use cases
Exposure to data privacy regulations and consent management (e.g., GDPR, CCPA) in marketing data workflows
Familiarity with Agile delivery models and leading data engineering teams in fast-paced environments
Experience influencing or driving data platform modernization initiatives at scale

Responsibilities

Lead the consolidation of customer and marketing data into an Azure Databricks Lakehouse, ensuring scalability and accessibility
Design, build, and oversee data pipelines that integrate CRM, Martech, digital, and analytics data sources
Enable CDP capabilities including unified customer profiles, identity resolution, and audience segmentation
Support go-to-market execution by delivering reliable data for lead management, campaign activation, and reporting
Modernize legacy SQL-based list management processes into automated, governed data workflows
Establish and enforce data quality, validation, and testing standards, including ownership of UAT processes
Partner cross-functionally with Marketing, Analytics, Data Platform, and Martech teams to align data solutions with business needs
Translate marketing and business requirements into scalable data engineering solutions
Provide technical leadership while driving measurable business impact through improved data reliability and usability