Lead II, Software Engineering

Position Overview:

This role requires a servant-leader who is as-comfortable ensuring robust infrastructure (with IaC) supports our SaaS-enabled capabilities, while also designing and implementing custom integration points between SaaS and bespoke technology platforms.

The ideal candidate will possess a strong technical background in Java and Python, experience in serverless architectures and infrastructure as code, and hands-on experience with RDF and SPARQL in a Production setting.

Key Responsibilities:

• Lead and mentor a team focused on data quality initiatives and the development of knowledge graph systems.
• Participate in the design, implementation, and maintenance of data quality frameworks and processes to ensure high standards of data integrity and accuracy.
• Architect and develop solutions using Java (JDK 17+) and Python (3.13) for data quality processing and knowledge graph applications.
• Utilize AWS serverless technologies, including Lambda and S3, to build scalable and efficient solutions.
• Implement Infrastructure as Code (IaC) practices using Terraform to automate and streamline deployment processes.
• Collaborate with cross-functional teams to define framework requirements, establish best practices, and support a culture of data stewardship.
• Stay abreast of industry trends and emerging technologies related to data quality and knowledge graphs.
• Advocate for the use of Resource Description Framework (RDF) in data management and integration projects.
• Engage with stakeholders to gather feedback and continuously improve data quality initiatives.

Qualifications:

• Bachelors degree in Computer Science, Data Science, or a related field; Masters degree preferred.
• 8+ years of experience in data management, with a focus on data quality and knowledge graph systems.
• Strong proficiency in Java (JDK 17+) and Python (3.13).
• Experience with AWS serverless technologies, including Lambda and S3.
• Familiarity with Infrastructure as Code (IaC) using Terraform.
• Knowledge of RDF and its application in data management is highly desirable.
• Exceptional leadership skills with a servant-leader mindset, capable of fostering a collaborative team environment.
• Excellent communication and interpersonal skills, with a strong ability to engage with both technical and non-technical stakeholders.