Lead Data Engineer - Customer 360 & Identity Graph

Temporary

Kforce has a client seeking a Lead Data Engineer in Fort Lauderdale, FL to drive the design and delivery of modern Customer 360, Identity Graph, and AI-enabled data platform solutions. Summary: This role will lead the development of scalable data products that support machine learning, customer intelligence, personalization, and emerging AI capabilities. The ideal candidate is a hands-on technical leader with deep expertise in cloud data platforms and a proven track record building greenfield data solutions from concept to production. Responsibilities:

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
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

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Vacancy posted 2 days ago

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