Lead Data Engineer
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
- Snowflake
- Databricks
- Data Lakehouse architectures
- Streaming technologies
- Domain-Driven Design (DDD)
- Data product development
- 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
- 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
Vacancy posted a month ago
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