Sr. Manager – Data & AI Support Engineering

The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-06-04

Job description

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.
• 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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Databricks Jobs in Texas Jobs in Plano, TX Plano city guide Texas state guide Collin County economy

View this job and apply on the employer's page →

You apply on the employer's page; AtiveSite does not receive or process applications and is not affiliated with the employer. The description above is shown as the source published it.

About the role

This is a — role in the Technology field (Data, analytics and AI) at Databricks.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

How to prepare and behave

This is editorial guidance, not information from the employer.

• Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
• Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
• Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
• Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
• Be honest about gaps; say what you did to learn and how fast you can close them.
• Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
• When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
• Send a short thank-you message within a day, mentioning one thing you discussed.
• Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

• U.S. Equal Employment Opportunity Commission: prohibited employment practices
• U.S. Department of Labor: Wage and Hour Division
• CareerOneStop (U.S. Department of Labor): job search help, interview tips and resumes
• USA.gov: avoiding job scams

The city

The job is in Plano, TX. Below is what the official statistics say about living and working there.

How Plano compares. Among the 120 largest places in Texas, Plano is #9 by population, #11 for college degrees (#1 = most), #11 for remote work (#1 = most), #30 for household income (#1 = highest). Its county, Collin County, is #10 of 254 counties for average pay ($88,091).

The place in numbers

Plano has 290,594 residents (ACS 2020–2024), about 1.0% of the population of Texas. It covers 72 square miles of land, which works out to roughly 4,053 people per square mile. The median age is 39.6, 11% older than the state median (39.6 against 35.6).

Housing

The median gross rent is $1,841 a month (rent plus utilities), 31% above the state median ($1,841 against $1,403). Over a year that is 19.7% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $465,900, which is 4.2 times the median household income ($112,253). 56.9% of households own their home, 9% below the state average (56.9% against 62.6%).

Work and pay

The Dallas-Fort Worth-Arlington, TX metropolitan area has 4,049,800 jobs in the BLS wage survey, and the median pay across all occupations is $51,440 a year, about the same as the national median ($51,440 against $50,980). The biggest occupation groups are office and administrative support (490,190 jobs, median $47,080); transportation and material moving (423,430 jobs, median $44,570); management (379,320 jobs, median $128,140). The area is most specialised in computer and mathematical (1.4 times) and management (1.3 times), where the share of workers is above the national share. The best-paying groups with at least 5,000 jobs are management ($128,140) and computer and mathematical ($121,440). In 2026M09 the unemployment rate of Collin County was 4.1%. 69.0% of residents aged 16 and over are in the labour force. The city lies in Collin County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 61.5% drive alone, 0.7% use public transit, 1.8% walk, 27.5% work from home. 13.4% of workers commute 45 minutes or more, 20% below the state average (13.4% against 16.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

60.5% of adults aged 25 and over hold a bachelor's degree or higher, 79% above the state share (60.5% against 33.8%). 29.3% of residents were born outside the United States, 67% above the state share (29.3% against 17.6%). The poverty rate is 6.8%, 51% below the state rate (6.8% against 13.8%).

Climate

The warmest month is Aug, averaging 86°F (30.1°C), and the coolest is Jan at 44°F (6.4°C). About 921 mm (36 inches) of precipitation falls in a year; May is the wettest month (116 mm) and Jul the driest (55 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Richardson (6 miles, similar rent); Allen (6 miles, rent 5% higher); Frisco (8 miles, rent 9% higher); The Colony (9 miles, rent 6% higher). Rent differences are against Plano; use the Compare tab to put any two cities side by side.

Full guide to Plano →Texas guideAll jobs in Plano

Official links for Plano

• Official website of Plano: plano.gov
• Census Bureau data profile for Plano
• Official state website: texas.gov
• BLS Economy at a Glance: Texas

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

The job city has no coordinates we can place on the map, so no housing comparison is shown. Use the 250 largest cities table to compare rent and income.

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (713) Software engineering (4089) Cloud, IT and infrastructure (1040) Product management (836)

Distances

This job has no single city we can place on the map (remote, flexible or unmatched location), so no distance table is shown. Browse all Technology jobs with distances from any of the 20 largest cities.

The employer

Databricks is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at Databricks

Similar jobs

Same sub-niche: Data, analytics and AI

More jobs in Plano, TX

All Data, analytics and AI jobs → · All Technology sub-niches →

FAQ

What is the Sr. Manager – Data & AI Support Engineering job at Databricks?

A private-sector role in technology (data, analytics and ai) listed 158 days ago. The full description is on this page and on the employer's page.

Where is this job?

Plano, TX.

How do I apply?

Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Plano is $1,841 a month and median household income $112,253 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-06-04 (158 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in Texas.

Sources and terms

• Job data: Databricks careers page public feed (listing dated 2026-06-04). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)