Level

Databricks

Sr. Solutions Architect

Databricks is hiring a Sr. Solutions Architect for a remote role open to applicants in United States. It pays $219k-$301k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

  • On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The listed pay starts 30% above the typical solutions architect posting on Level.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include solution architecture, pre sales and cloud computing.
  • Level lists 895 other open roles at Databricks.

AI in this role

Senior Solutions Architect at Databricks helping enterprise customers design and adopt data intelligence and analytics platforms.

solution-architecturepre-salescloud-computingdata-analyticsenterprise-software

FEQ327R503

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

  • Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.

  • Coach junior Solutions Architects and teams on use case prioritization and building technical champions.

  • You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.

  • Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.

  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

  • Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

  • 10+ years of customer-facing technical experience.
  • Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.

  • Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.

  • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.

  • Hands-on expertise with complex proofs-of-concept and public cloud platform(s).

  • Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

  • Can travel up to 30% when needed.

 

 

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 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 anticipates 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 2 Pay Range$219,100—$301,300 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.

How we rate this

Sr. Solutions Architect at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solution ArchitecturePre SalesCloud ComputingData AnalyticsEnterprise Software

Also common in solutions architect jobs at this level

Pay

This job starts at
$219k
Typical solutions architect job
$168k

This posting starts 30% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

  1. Tell me about a project where solution architecture was part of your work. What did you do?
  2. Tell me about a project where pre sales was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where data analytics was part of your work. What did you do?
  5. Tell me about a project where enterprise software was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Solution Architecture, Pre Sales, Cloud Computing, Data Analytics, and Enterprise Software. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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