Sr. Solutions Engineer

Databricks · Remote · US

Open 2 days

New Business + Account Growth: you win new customers and grow existing ones.

Base: Not disclosed
OTE: Not disclosed
Posted: 2d ago

Still open · checked 2h agoon Databricks's careers page

Apply on Databricks →

The job

What you'd do

Lead technical meetings with customers, design data and AI setups for their projects, and build live demos of the software. You'll work with a sales partner to help existing customers use more of it.

What you'd sell

Helps companies put all their data in one place and use it

When a company wants answers from its data, the numbers usually sit in dozens of separate systems. The problem is, pulling them together takes weeks, and by then the answer is old. Databricks keeps a company's data in one place where teams can run reports and build AI on it, so decisions get made on fresh numbers.

In plain English, from their own job posts. Something wrong? Tell me · More AI & data companies →

Who you'd sell to

Customer engineers, data teams and technical leadsIn their words: “Own frontline technical relationships with customer engineers, data teams, and technical leads”

Where deals come from

Not stated in the posting.

The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay: No pay listed at all.
Transparency: Says nothing about quota, attainment, deal size, territory or sales cycle. Ask about all five.
Time on market: Open 2 days.
Company hiring: Ramping up: posted 39 sales roles in the last 30 days. That many open roles can also mean churn. Ask how many reps are still there from last year.

Red lights

Pay. No pay listed at all.

Green lights

Pays more past quota. Higher commission rates once you pass quota. Overperformance actually pays.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

1.
What percentage of fully ramped reps hit quota last year?
OTE is what you could earn. This is how likely you are to earn it.
2.
What are the base and the OTE for this role?
No point investing hours before you know the number.
3.
What's the annual quota, and how was it set?
A quota built from real data is a target. Otherwise it's a hope.
4.
Where does pipeline come from: inbound, SDRs, or me?
Tells you how much of your week is prospecting versus selling.
5.
How long is ramp, and what's the quota during it?
Full quota on day one means you start behind.

Before You Apply

Find out where you fit, and where you don't, before you hit submit.

Why I built it this way ↓

Most résumé tools try to make you look like a match. I'd rather help you find out if you are one.

Nothing made up.
Nothing goes on your résumé that you didn't do. If a line would need a number you didn't give me, I ask. I don't guess. On Braun Board it's checked in code, not just promised.
Curiosity before conclusions.
If the job wants something your résumé doesn't show, I ask before I assume. Plenty of sellers have done the thing and just never wrote it down.
Sorting, not selling.
Some jobs won't line up with what you've done. Finding that out before you apply isn't a loss. It's an hour back, spent on a job that fits.
No score.
A match score tells you how well you copied their words. It doesn't tell you whether you'd be good at the job, or happy there.

It's the same way I teach selling. We don't control who says yes. We do control where we spend our time, and whether everything we say is true.

Josh

1 Is the job worth it?

Ask hard questions. Too much is left unsaid. Make them answer before you invest.

No pay listed at all.

Might be worth asking about this before you spend an hour on a tailored résumé.

See the full Braun Read

2 Where you fit

Upload once, see where you fit on any job.

What people say about working at Databricks ↓

Got an offer from Databricks? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh

Rather talk it through? Call or text me: 954-695-0844 (text)

Full posting

Sr. Solutions Engineer Req FEQ128R76 The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have - Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning - Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins - Own frontline technical relationships with customer engineers, data teams, and technical leads - Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption - Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations - Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For - 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role - Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage - Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) - Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) - Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews - Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics - Strong presentation and demo skills — you will build and present a live solution during the interview - Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: - Databricks certification or experience with the Databricks Platform - Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow - Background at a data/AI company, cloud provider, or technical consulting firm 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.

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