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
Big Data, AI/ML, Distributed Systems, Cloud Platforms
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
Required skills
Distributed systems troubleshooting, Apache Spark (Core, SQL, Structured Streaming), Delta Lake, JVM memory management, team leadership, incident management, cloud platforms (AWS/Azure/GCP), Python/Java/Scala
Preferred skills
Agentic AI systems, RAG architectures, vector databases, Databricks tech stack (Model serving, Lakehouse, DLT, Lakeflow, Lakebase), observability platforms
Technologies
Apache Spark, Delta Lake, Kafka, AWS, Azure, GCP, Python, Java, Scala, JIRA
Responsibilities
Lead and manage Technical Solutions Engineers and support operations personnel; Build and scale AI-enabled workflows and automations; Act as a senior escalation point for customers and internal teams; Conduct regular one-on-ones, annual reviews, and career development discussions; Participate in major incident management and on-call rotations; Guide customers on Spark runtime optimization and distributed systems performance; Own Engineering JIRA escalations and drive faster resolutions for product issues.
Seniority
Senior, hands-on IC with management responsibilities