Description

Design and oversee end-to-end data architectures for large-scale SaaS environments.

Responsibilities

• Design and maintain data models, data dictionaries, data mapping, and metadata management frameworks.
• Develop and execute analytical algorithms, statistical methods, and scalable models to solve complex business problems.
• Perform quantitative analysis on large datasets to identify trends, patterns, and correlations.
• Lead technical teams by mentoring new joiners, managing resource allocation, and assisting in hiring processes.
• Mitigate technical risks and integrate product designs into a cohesive user experience.

Required Skills

• 10+ years of experience in end-to-end architecture and coordinating project teams within the SaaS industry.
• Expertise in data modeling, data analysis, data migration, and data integration.
• Advanced proficiency in SQL, PL/SQL, and Python.
• Proven experience in machine learning model development and deployment.
• Deep knowledge of SQL and NoSQL data stores.
• Demonstrated ability to manage data visualization and data management at scale.
• Experience working within Agile/Scrum methodologies.
• Strong background in the analysis, design, and implementation of software applications, including mobile.

Preferred Skills

• Experience with predictive modeling, time series forecasting, and optimization algorithms.
• Knowledge of cloud-based architectures, IBM cloud deployment, and operational aspects.

Key Skills

Education

Bachelor's degree in Computer Science