# Sr. Manager – Data & AI Support Engineering at Databricks

> United States · Manager · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Adatabricks%3A7914730002 (read 2026-11-04).

## Facts (observed)

- Company: [Databricks](https://alderhq.app/companies/databricks)
- Location text: Plano, Texas; Texas
- Where it can be done from (inferred): United States (evidence: "Location: Plano, Texas; Texas")
- Posted: 2026-06-04 (153 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://databricks.com/company/careers/open-positions/job?gh_jid=7914730002
- Skills listed (inferred): Python, Java, Scala, Spark, SQL, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Dallas, n 144): p25 $31k, median $68k, p75 $113k
- H-1B filings at this company for similar roles, FY26: 23, median offered wage $153k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Recognised sponsor (NL): registered as "Databricks" (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))
- Licensed UK sponsor: registered as "Databricks UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

P-1388

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.

### Mission

Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads.

- Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality.
- Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely.
- Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams.
- Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls.
- Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence.
### Outcomes

- Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience.
- Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers.
- Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization.
- Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location.
- Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality.
- Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimization.
- Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads.
- Conduct regular one-on-ones, annual review, and career development discussions with direct reports.
- Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies.
- Guide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads.
- Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues.
- Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets.
- Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively.
- Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success.
- Participate in major incident management, escalation handling, on-call rotations, and critical production support activities.
### What we are looking for

- 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adatabricks%3A7914730002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.