Role at a glance
- Salary
- $180K – $247.5K/yr
- Location
- Remote - Michigan
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- experienced pre-sales professionals
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Role Summary
The Solutions Architect partners with Enterprise Account Executives and customer-facing technical resources to define technical strategies for large enterprise accounts. The role helps customers evaluate and adopt Databricks products and expand their use of machine learning and artificial intelligence across business use cases.
What You'll Do
- Define and direct the technical strategy for large enterprise accounts with the Enterprise Account Executive.
- Serve as the main technical voice for multiple clients.
- Lead customers through evaluating and adopting Databricks as part of their strategy.
- Build proofs of concept and demonstrate Databricks products with hands-on resources.
- Align technical strategies around Databricks solutions and build technical champions within accounts.
- Provide structured mentorship to other team members.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience establishing virtual teams and leading them to success within accounts; experience with very large (> $1m ARR), global accounts; experience building relationships with executives and influencers; ability to present a convincing point of view to decision-makers; technical experience in data engineering, cloud data warehousing, and/or data science; 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.
Required
- Experience 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, internally and with customers
- Present a convincing point of view to important decision-makers
- 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
Preferred
- Databricks Certifications
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.