Director Marketing Data Engineering
Orlando, FL - USA
Job Summary
- Recognition Programs and Rewards
- Excellent health care options including medical dental and vision
- A people-first culture
- Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
- Perks at work: Employee Pricing platform
- Employee Assistance Program that supports your physical and mental well-being.
- Paid Vacation Time and Paid Sick Days
- 401(k) program with company match
- Tuition reimbursement programs
- Numerous learning and advancement opportunities
- And more!
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.
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
Qualifications
To fulfill this role successfully you must possess the following minimum qualifications and experience:
- 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
- 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
Required Experience:
Director
About Company
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