LOCATION
Remote (EST preferred)
Key Responsibilities
Customer 360 & Identity Resolution
- Lead development of Customer 360 capabilities by integrating data across hospitality, gaming, digital, loyalty, and customer service platforms.
- Design and implement identity resolution frameworks and customer identity graph solutions.
- Develop data models and architectures that support customer relationship mapping, confidence scoring, and customer profile unification.
- Partner with business stakeholders to translate customer intelligence requirements into scalable technical solutions.
Data Engineering & Platform Leadership
- Design and build high-scale batch and streaming data pipelines.
- Develop domain-oriented data products that support machine learning and AI initiatives.
- Establish data engineering standards, architectural patterns, and best practices.
- Lead ingestion and integration efforts across dozens of enterprise data sources.
- Ensure high levels of data quality, governance, lineage, and trustworthiness.
Modern Data Architecture
- Build AI-ready, ML-ready, and agent-ready data structures.
- Design scalable data solutions leveraging Snowflake and Databricks.
- Collaborate with Data Scientists, MLOps Engineers, Product Managers, and Business SMEs.
- Drive speed-to-value while maintaining enterprise-grade security and governance.
Technical Leadership
- Serve as lead engineer within a dedicated delivery squad.
- Mentor senior and mid-level engineers.
- Lead architectural reviews and solution design sessions.
- Help establish repeatable frameworks for future data squads.
Required Qualifications
- 10+ years of Data Engineering experience.
- 3+ years in a Lead, Principal, or Architect-level capacity.
- Extensive experience building modern cloud-based data platforms.
- Demonstrated success building greenfield data initiatives from concept through production.
- Strong expertise in:
- Snowflake
- Databricks
- Data Lakehouse Architectures
- Streaming Technologies
- Domain-Driven Design
- Data Product Development
- Experience designing and implementing:
- Customer 360 platforms
- Identity Resolution solutions
- Customer Identity Graphs
- Recommendation data architectures
- Strong SQL and Python skills.
- Experience supporting machine learning and AI workloads.
Preferred Qualifications
- Hospitality, Gaming, Entertainment, Loyalty, Travel, or Consumer Digital experience.
- Experience with:
- Real-time customer personalization
- Recommendation platforms
- Customer analytics ecosystems
- Feature store design
- ML data preparation frameworks
- Exposure to AI agent initiatives and semantic data architectures.
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