Position Overview: We are seeking a agile and experienced individual to lead our Internal Knowledge Platforms team, supporting the operation and integration of Data Quality and Graph systems across our metadata-enabled suite of tools in the Enterprise Data Office.

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.

📌 Lead II, Software Engineering (Ahmedabad)
🏢 Su0026P Global Market Intelligence
📍 Ahmedabad