Manager, Technical Solutions Spark
Leads a regional Data and AI technical solutions team supporting customer production workloads, reliability, and performance across APJ and EMEA hours. Requires people leadership, 10+ years of IT experience, strong data engineering expertise, and production-scale experience with big data, AI/ML, or streaming systems.
About the job
Responsibilities
- Lead and grow a regional team of Data & AI technical experts in India.
- Oversee support operations during APJ and EMEA business hours and coordinate with global teams for 24x7 coverage.
- Resolve complex and long-running data engineering use cases for customer production workloads, including performance optimization and workload resiliency.
- Support customer adoption and stabilization of new products and features.
- Engage with strategic customers to understand their Data & AI needs, collaborating with field engineering and sales as needed.
- Partner with product engineering teams to improve Databricks products and supportability.
- Maintain high platform reliability to help customers achieve business goals.
- Develop the team’s technical expertise and troubleshoot distributed systems.
Requirements
- At least 3 years of people-management experience.
- 10+ years of IT industry experience, with a strong software engineering background specializing in data engineering.
- Experience leading teams in engineering, technical support, or consulting.
- Customer-facing experience, preferably in support leadership.
- Production-scale experience in at least two of the following areas:
- Big data
- Machine learning or artificial intelligence
- Data science or streaming use cases
- Strong troubleshooting skills across distributed systems.
- Bachelor’s or master’s degree in computer science or an equivalent technical field.
Nice-to-haves
- Big data and cloud experience.
- Expertise with Apache Spark.
- Experience supporting customer production workloads.
- Ownership mindset and ability to work in a fast-paced, startup-like environment with evolving needs.
Skills
Data Engineering, Spark, Hadoop, Apache Kafka, Machine Learning, Artificial Intelligence, Data Science, Streaming, Cloud Computing, Distributed Systems, Software Engineering
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