Sr. Manager – Data & AI Support Engineering
Core
Lead and manage a team of Technical Solutions Engineers to drive deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms, utilizing AI-first operational innovation.
Role type
Senior Manager, Data & AI Support Engineering
Builds
AI-enabled support workflows, reusable automations, runbooks, and operational intelligence frameworks for enterprise-scale Data and AI workloads.
Domain
Data Engineering, AI/ML Operations, Cloud Platforms (AWS/Azure/GCP)
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
Required skills
Team leadership and management, AI-first operational innovation, Agentic AI systems, RAG architectures, vector databases, Apache Spark, Spark SQL, Structured Streaming, Delta Lake, distributed systems troubleshooting, JVM memory management, cloud platform expertise, incident management, stakeholder management
Preferred skills
Databricks tech stacks (Model serving, Lakehouse, DLT, Lakeflow, Lakebase), Python, Java, Scala, experience with Claude Skills workflows
Technologies
Spark, Delta Lake, Kafka, AWS, Azure, GCP, Python, Java, Scala, JIRA
Responsibilities
Build and scale AI-enabled support workflows and automations, partner with Engineering and Product teams to operationalize AI-assisted diagnostics, lead and mentor Technical Solutions Engineers, act as a senior escalation point for complex customer issues, guide customers on Spark runtime optimization and distributed systems performance, own Engineering JIRA escalations, participate in major incident management and on-call rotations, maintain operational documentation and knowledge base assets
Seniority
Senior, hands-on IC with management responsibilities