Job type: Temps partiel

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At Databricks our core values are at the heart of everything we do, creating a culture of proactiveness and customer-centric mindset guide 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, fosters a culture of creativity, experimentation and continuous improvement.

As a Senior Solutions Architect, you will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help our customers solve their complex data challenges. You’ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will report to the Manager, Field Engineering.

Join us in our quest to change the way people work with data and make a better world!


The impact you will have:

  • You will develop customer engagement strategies in partnership with Account Executive(s) in your designated territory to deliver exceptional technical and business value.
  • Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
  • You will influence customer 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 big data analytics architecture, design and adoption of the Databricks Lakehouse 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 specialisation, industry vertical expertise, strategic customer partnership and people management.

What we look for:

  • Pre-sales experience working with external clients. Experienced in leading complex customer interactions and sales lifecycle in a technical pre-sales capacity.
  • Influencing important decision makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
  • Hands-on expertise with complex proof-of-concepts and experience designing/implementing architectures on a public cloud (AWS, Azure or GCP).
  • Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
  • Prior experience with coding in a core programming language (i.e. Python, Java, Scala) and a base level of understanding with Apache Spark preferable.
  • Data Engineering background preferable, i.e. prior hands-on experience in performance tuning and/or optimising data workloads.
  • A minimum of a bachelor’s degree in Computer science, Information system, Engineering, Data Science or equivalent experience through work experience.

Note : we are open to accept applications from across the country (i.e. outside of Zurich) and candidates open to relocating to Switzerland.


Benefits

  • Life, accident and disability coverage
  • Company pension with employer contribution
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance
  • Mental wellness resources

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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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Deadline: 18-04-2024

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