Data Engineer

Job Description

• Lead the design and implementation of Customer 360 and identity resolution solutions across multiple enterprise data sources
• Develop data architectures and models that support unified customer profiles, relationship mapping, and customer intelligence initiatives
• Design and build scalable batch and real-time data pipelines
• Create domain-driven data products that support AI, machine learning, and advanced analytics
• Establish data engineering standards, best practices, and reusable architectural frameworks
• Drive data quality, governance, lineage, and platform reliability
• Design AI-ready and ML-ready data solutions leveraging modern cloud technologies
• Collaborate with cross-functional teams including Data Science, Product, Engineering, and Business stakeholders
• Mentor engineers and provide technical leadership across solution design and architecture reviews

Requirements

• 10+ years of Data Engineering experience
• 3+ years in a Lead Engineer, Principal Engineer, or Architect capacity
• Strong experience building modern cloud-based data platforms
• Proven success delivering greenfield data initiatives

Expertise with:

• Snowflake
• Databricks
• Data Lakehouse architectures
• Streaming technologies
• Domain-Driven Design (DDD)
• Data product development

Experience designing and implementing:

• Customer 360 platforms
• Identity resolution solutions
• Customer identity graphs
• Recommendation data architectures
• Advanced SQL and Python development skills
• Experience supporting machine learning and AI workloads

Preferred Skills:

• Experience within hospitality, gaming, travel, loyalty, consumer digital, or related industries
• Knowledge of real-time personalization and recommendation platforms
• Experience building customer analytics ecosystems
• Feature store and ML data preparation framework experience
• Exposure to AI agent initiatives and semantic data architectures

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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