Custom Software Engineer

Data Modeler

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and industry standards, facilitating seamless data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes.

Roles & Responsibilities:

• Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate training sessions for team members to enhance their understanding of data modeling principles.
• Continuously evaluate and improve data modeling processes to increase efficiency and effectiveness.

Professional & Technical Skills:

• Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
• Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
• Strong understanding of database design principles and data architecture.
• Experience with data integration tools and ETL processes.
• Familiarity with data governance and data quality frameworks.
• Ability to translate business requirements into technical specifications.

Additional Information:

The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies. This position is based in Mumbai. A 15 years full time education is required.