Databricks

Solutions Architect - Manufacturing

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

FEQ427R286

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts.

Your work with customers will include partnering with hands-on resources. You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.

Outcomes

You work with multiple clients as the main technical voice for Databricks.

You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy

You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value.

You build a movement of technical champions within the account.

You align technical strategies around Databricks solutions.

You provide structured mentorship for other team members.

Gain your peers' respect through your experience, insight, and contributions.

Competencies:

Experience in establishing virtual teams and leading them to ultimate success within the account.

Experience working with very large (> $1m ARR), global accounts.

Experience building relationships with executives and influencers, both internally and with customers.

Present a convincing point of view to important decision-makers that leads them down a path of success.

Technical experience in data engineering, cloud data warehousing, and/or data science

An ability in data-driven business transformation and driving change with data.

Production programming expertise in Python, R, Scala, or Java

Experience practicing live/vibe coding sessions with stakeholders

Nice to have: Databricks Certifications

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$180,000—$247,500 USD

Zone 2 Pay Range

$180,000—$247,500 USD

Zone 3 Pay Range

$180,000—$247,500 USD

Zone 4 Pay Range

$180,000—$247,500 USD

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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Python Sales Solutions Architect Mid level

Likely questions

  1. Tell us about work you have done that is close to the Solutions Architect - Manufacturing role.
  2. How would you approach your first 30 days at Databricks?
  3. Which of Data Analysis, Python and Sales have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Sales.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Solutions Architect - Manufacturing role because I can bring practical experience in Data Analysis, Python and Sales, learn the team quickly, and contribute to the outcomes Databricks needs from this hire.

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