Manager, Solutions Architects (SAs)

Databricks
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$192,100.0 - $264,175.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Information Engineering Data Infrastructure Data Warehousing Machine Learning SAS (Software) Enterprise Software Applications Generative AI Databricks

Job description

  • Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers
  • You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode.
  • Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses.
  • You will maintain a robust hiring pipeline at all times.
  • Establish relationships across the business to make your customers and team successful.
  • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

Requirements

  • Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
  • 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
  • Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective
  • Trusted advisor to technical executives that guide strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
  • Strategic mindset focused on driving customer outcomes in an accelerated fashion
  • Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
  • Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
  • Technical and business skills to earn the trust of Engineering talent and leadership at Databricks.
  • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

Pay Range Transparency

Benefits & conditions

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.

Local Pay Range $192,100-$264,175 USD, 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.

About the company

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.

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