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Strong employer brand and metro Bangalore location with a senior technical role increase competition density.
Requires deep big-data, Spark, and production reliability expertise, so industry transferability is limited.
Explicit 10+ years and 3+ years managerial plus specialized Spark/Big Data production requirements.
Lead and grow a regional Data & AI technical team in India to ensure resilience and smooth operation of customer production workloads across EMEA & APJ business hours.
Own support operations coordination for 24x7 coverage by collaborating with global teams and handling complex data engineering issues including performance optimization and workload stabilization on new products.
Engage with top customers and internal teams to align Data & AI strategies, enhance Databricks product supportability, and maintain high platform reliability to meet customer business goals.
Minimum 3+ years of people leadership experience in engineering, support, or consulting roles.
At least 10 years in IT with strong software engineering background, specializing in data engineering, big data, and cloud technologies.
Hands-on experience at production scale in at least two areas: Big Data (Spark, Hadoop, Kafka), Machine Learning/AI projects, Data Science/Streaming use cases; Spark expertise is a significant advantage.
Bachelor’s or Master’s degree in Computer Science or equivalent technical field.
Experienced in leading customer-facing technical teams with strong troubleshooting skills across distributed systems.
Capable of operating in fast-paced, evolving environments with a strong ownership mindset and focus on delivery and reliability.
Background in software engineering with specialization in big data and cloud technologies, comfortable interfacing with customers and internal engineering/sales teams to drive adoption and product improvements.