Solutions Architect

WinsAbove

Vancouver, Calgary

Presencial

CAD 176 000 - 242 000

Tempo integral

Há 3 dias
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Resumo da oferta

Databricks in Canada is seeking an experienced pre-sales professional to serve as the technical voice for large enterprise accounts. You will define and direct the technical strategy, lead transformational journeys, and collaborate with AEs and hands-on teams to drive adoption of Data + AI solutions.

You bring a track record in value selling, virtual team leadership, and production programming in Python, R, Scala or Java. Nice-to-have Databricks Certification.

Qualificações

  • Extensive experience with large, global accounts (> $1m ARR) and executive engagement.
  • Strong track record in value selling and technical leadership.
  • Proficiency in big data, data science and cloud technologies; production programming in Python, R, Scala or Java.

Responsabilidades

  • Be the main technical voice for Databricks across multiple clients.
  • Lead customers on a transformational journey to adopt Databricks as part of their strategy.
  • Implement the technical strategy within the account, aligning with Databricks solutions.
  • Build a movement of technical champions within the account and mentor other team members.
  • Provide mentorship and share insights to peers and team members.

Conhecimentos

Virtual team leadership
Executive stakeholder engagement
Big data, data science & cloud
Value selling
Technical leadership
Proofs of concept / technical demos
Python/R/Scala/Java
Databricks Certification

Ferramentas

Databricks

Descrição da oferta de emprego

Location: Vancouver, BC | Calgary, AB

Mission

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 Enterprise 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 Databricks' 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.

The impact you will have:
  • 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 account, in close understanding of the strategy.
  • 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 the respect of your peers based on your experience, insight, and contributions.
What we look for:
  • 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: Databricks Certification
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range 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 anticpates 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.

Canada Pay Range

$175,800—$241,800 CAD

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.

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