Director Of Data engineer

Company Description
Vettura AI is a technology company where cutting-edge artificial intelligence meets operational efficiency. The platform leverages advanced machine learning and data analytics to help organizations optimize processes, improve performance, and enable smarter decision-making. Vettura AI focuses on intelligent, scalable solutions that reduce costs, enhance productivity, and support sustainability across multiple industries. The company’s technology is built to help businesses streamline operations, strengthen data-driven insights, and address complex challenges in a rapidly evolving landscape. Applicants can learn more about how Vettura AI is transforming industries with AI at www.vettura.ai.

Role Description
The Director of Data Engineering is a full-time, on-site role based in Hyderabad, responsible for leading the design, development, and governance of Vettura AI’s data infrastructure. This role oversees the architecture of scalable data pipelines, data lakes, and data warehouses to support advanced analytics, machine learning, and real-time decision-making. The Director will lead and mentor a team of data engineers, establish best practices, and collaborate closely with data science, product, and engineering teams to deliver robust, secure, and high-quality data solutions. Day-to-day responsibilities include defining data engineering standards, driving tool and technology selection, ensuring data reliability and performance, and partnering with stakeholders to translate business needs into technical requirements. The role also involves setting long-term data strategy, managing budgets and vendor relationships, and ensuring compliance with data security, privacy, and regulatory requirements.

Qualifications

• Extensive experience in data engineering leadership, including designing and operating large-scale data platforms, data pipelines, and ETL/ELT processes.
• Strong expertise in modern data stack technologies (e.g., distributed processing frameworks, data warehousing platforms, streaming technologies, and orchestration tools).
• Proficiency in programming and scripting languages commonly used in data engineering (such as Python, SQL, and one or more compiled languages).
• Solid understanding of data modeling, data governance, data quality management, and best practices for metadata and lineage tracking.
• Experience working closely with machine learning, analytics, and product teams to enable data products and AI-driven solutions.
• Demonstrated ability to build, lead, and mentor high-performing, diverse, and inclusive data engineering teams.
• Proven track record of strategic planning, roadmap ownership, and stakeholder management in a high-growth or technology-driven environment.
• Knowledge of information security, privacy principles, and regulatory considerations related to data management.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• Experience in AI, machine learning, or