Sr. Solutions Architect

Databricks; Washington; On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking an experienced Senior Solution Architect to act as the primary technical voice for marquee accounts, guiding the adoption of ML/AI across the enterprise. You will collaborate with an Enterprise Account Executive to shape the technical strategy and drive data-driven transformations, including proofs of concept and strategic alignment with customer goals.

You will lead engagements across big data, data science and cloud - building champions, mentoring team members, and

Qualifications

• Senior pre-sales/solutions architecture experience in data/AI for large enterprises.
• Ability to lead technical strategy for major accounts and drive data-driven transformations.

Responsibilities

• You work with multiple clients as the main technical voice for the company.
• You lead your customers on a transformational journey, helping them to evaluate and adopt the company as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around the company solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

Skills

Python/R/Scala/Java

Tools

Genie

Lakebase

Agent Bricks

Lakeflow

Lakehouse

Unity Catalog

Job description

Location: Seattle, WA or San Francisco Bay Area, CAREQ ID - FEQ427R648Mission

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA 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. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate the company' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals.

Outcomes

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

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

• You implement the technical strategy in the account, in close understanding of the strategy.

• You build a movement of technical champions within the account.

• You align technical strategies around the company solutions.

• You provide structured mentorship for other team members.

• Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.

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

• Form relationships with executives and influencers.

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

• Technical in big data, data science and cloud.

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

• Production programming experience in Python, R, Scala or Java

• Nice to have: the company Certification

Pay Range Transparency

the company 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, the company 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 1 Pay Range

$219,100—$301,300 USD

Zone 2 Pay Range

$219,100—$301,300 USD

Zone 3 Pay Range

$219,100—$301,300 USD

About the company

the company 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 the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, 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 the company, 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 the company 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.

ComplianceIf 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.