Senior Data & AI Engineer - Knowledge Graphs & GCP

Location: Hybrid | Philadelphia | U.S. Relocation Available

 About the Job You’re Considering

We are looking for a seasoned Senior Data Engineer with deep expertise in building scalable, cloud-native data platforms and a passion for knowledge graph technologies. In this role, you will architect and optimize data systems that power analytics, machine learning, and real-time decision-making across the organization. You’ll work with cutting-edge tools in GCP, Neo4j, and modern data processing frameworks to transform complex data into actionable insights. This is a hybrid role based in Philadelphia, requiring on-site presence at least 3 days per week. We are open to domestic relocation for the right candidate.

 Your Role

• Design and implement scalable data architectures on GCP, including data lakes, warehouses, and real-time processing systems.
• Develop and optimize ETL/ELT pipelines using Python, SQL, and streaming technologies like Kafka and Apache Beam.
• Model and manage knowledge graphs using Neo4j and GraphQL to capture complex relationships and power intelligent applications.
• Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders in Agile teams to deliver data-driven solutions.
• Automate infrastructure and deployments using Terraform, Jenkins, and CI/CD best practices to ensure reliability and scalability.
• Ensure data quality, governance, and observability through robust validation, monitoring, and documentation practices.

 Your Skills and Experience

• Bachelor’s degree in computer science, engineering, or a related technical field.
• 8-15years of experience in data engineering, with strong expertise in cloud-native architectures (preferably GCP) and distributed systems.
• Proficiency in Python and SQL, with a proven track record of building and optimizing large-scale ETL/ELT pipelines and real-time data streaming solutions (e.g., Kafka, Apache Beam).
• Hands-on experience with knowledge graphs, especially Neo4j, and familiarity with GraphQL for modeling complex data relationships.
• Strong understanding of MLOps practices, including integrating data pipelines with ML workflows and deploying infrastructure using tools like Terraform and Jenkins.
• Excellent communication and presentation skills, with the ability to collaborate across technical and non-technical teams in Agile environments.
• Retail or e-commerce experience is a strong plus, particularly in areas like customer segmentation, personalization, or supply chain analytics.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building b