- 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.
- 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
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
Skills Required
- Strong experience with Azure Databricks and modern cloud data platforms
- Proficiency in SQL and PySpark
- Hands-on experience integrating CRM, Martech platforms, and digital data sources into unified data models
- Deep understanding of marketing data domains (lead management, customer lifecycle, segmentation, campaign execution)
- Experience supporting and enabling Customer Data Platforms, identity resolution, and customer 360 initiatives
- Proven ability to modernize legacy SQL-based workflows into automated, governed pipelines
- Familiarity with ETL/ELT tools and orchestration frameworks across modern and traditional stacks
- Experience establishing and maintaining data quality, validation, and testing processes
- Knowledge of data governance, access controls, and compliance considerations
- Ability to translate marketing and business requirements into scalable technical solutions
- Strong collaboration and communication skills to work with Marketing, Analytics, and Technology stakeholders
- Advanced degree or relevant certifications in Azure, Databricks, or data engineering
- Experience working in hybrid data environments (Databricks alongside legacy warehouses such as SQL Server)
- Background in B2B marketing data ecosystems (lead routing, scoring, pipeline attribution)
- Prior experience supporting or implementing enterprise CDP platforms
- Familiarity with MarTech integrations (Google/Adobe Analytics)
- Experience with data orchestration and workflow tools (e.g., Azure Data Factory) in production
- Knowledge of real-time or event-driven data processing for marketing use cases
- Exposure to data privacy regulations and consent management (GDPR, CCPA)
- Familiarity with Agile delivery models and leading data engineering teams
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