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×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.