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Salary
$170k – $311k per year (Estimated)
Location
In office
Seniority
Architect · 7+ years exp
Overview
Company
Impact
Profile match
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.

P-275

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.

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:

  • 7+ years of presales/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.

    #CMEG

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.

Local Pay Range

$139,700—$247,300 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.

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