- Lead the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure.
- Oversee integration of structured and unstructured data sources to support advanced analytics, machine learning, and AI initiatives.
- Evaluate, implement, and champion current tools and technologies to improve productivity, scalability, and effectiveness of data engineering efforts.
- Establish and enforce data engineering best practices, technical standards, governance, and quality standards.
- Ensure data security, privacy, compliance, system performance, scalability, and availability across all data engineering projects and platforms.
- Define, monitor, and report on key performance indicators (KPIs)



to measure the success and impact of data engineering activities.
- Lead incident response, root cause analysis, and resolution for data platform issues, ensuring high availability and reliability.
- Collaborate with cross-functional teams to deliver robust data-driven business solutions and define technical roadmaps.
- Mentor, coach, and grow a high-performing team of data engineers, fostering a culture of innovation, excellence, and continuous learning.
- Partner with senior leadership to define, execute, and communicate the enterprise data strategy.

📌 Director of Engineering (Bengaluru)
🏢 WhiteSlips Job Management Consultants
📍 Bengaluru