Data Architect

Company Description BETA is a dynamic, product-based software company focused on engineering high-performance digital solutions for a wide range of users. The organization designs, builds, and launches proprietary software products that include intuitive applications for the general public and robust platforms for businesses and large enterprises. Its work centers on simplifying daily routines, streamlining complex workflows, and delivering immediate value through exceptional user experiences. Guided by technical excellence and human-centric design, BETA creates software that is powerful, secure, and accessible. Team members join a culture that values innovation, quality, and impact in every product release.
Role Description The Data Architect at BETA is a full-time, on-site role based in Tiruvallur. This role is responsible for designing and maintaining scalable data architectures that support the company's product ecosystem and business operations. Day-to-day tasks include defining data models, overseeing data integration workflows, collaborating with engineering teams to implement data warehousing solutions, and establishing best practices for data governance. The Data Architect will work closely with product managers and developers to ensure data structures support performance, security, and analytics needs, while continuously optimizing existing data platforms. The role also involves documenting data standards, monitoring data quality, and contributing to long-term data strategy and roadmap planning.
Qualifications

• Strong foundation in Data Architecture and experience designing scalable, secure data solutions.
• Proficiency in Data Modeling and Data Warehousing to support analytics, reporting, and operational workflows.
• Hands-on experience with Extract Transform Load (ETL) processes and tools for reliable data integration.
• Knowledge of Data Governance practices, including data quality, security, and compliance frameworks.
• Experience with relational and NoSQL databases, cloud data platforms, and performance optimization.
• Ability to collaborate with cross-functional teams and translate business requirements into technical data designs.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; advanced degree is an advantage.
• Solid analytical, problem-solving, and communication skills, with attention to detail and documentation.
• Experience in product-based or software-centric environments is preferred.