Sr. Manager – Data & AI Support Engineering
Databricks · Plano, Texas · Support · listed June 4, 2026
The shape of it
Seniority
Manager
Experience asked
10+ years
Where
Not stated
Requirements listed
12
Length
876 words
In the posting’s own words
As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution.
What it asks for · 12
- 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies.
- Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks.
- Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus.
- Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration.
- Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems.
- Experience leading production-scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms.
- Strong troubleshooting and performance tuning experience for Spark and JVM-based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis.
- Hands-on experience with AWS, Azure, or GCP cloud platforms.
- Proven experience managing globally distributed technical teams and handling high-severity customer escalations.
- Strong analytical, debugging, problem-solving, and distributed systems troubleshooting skills.
- Excellent written and verbal communication skills with strong customer-facing leadership abilities.
- Strong organizational, multitasking, stakeholder management, and operational leadership capabilities.
Tools and skills named
Data
- Spark9×
- Data warehouse3×
- Databricks3×
- Hadoop
Cloud & infra
- Distributed systems3×
- Observability3×
- AWS
- Azure
- GCP
- Kafka
Languages
- SQL2×
- Java
- Python
- Scala
Ways of working
- Jira
- Mentorship
- On-call
- Technical writing
Models & research
- Machine learning2×
Go to market
- Customer success
Operations & finance
- Stakeholder management
Words the posting leans on
- support17×
- customer13×
- operational11×
- experience10×
- data9×
- technical9×
- spark8×
- engineering7×
- systems7×
- distributed6×
- escalation6×
- lead6×
- platforms6×
- resolution6×
- workflows6×
- analysis5×
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