Lead Solutions Architect

Reposted 10 Days Ago
Be an Early Applicant
Munich, Bavaria
In-Office
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead complex enterprise customer accounts, deliver demos, mentor Solutions Architects, and develop relationships with stakeholders in the data landscape.
Summary Generated by Built In

FEQ326R60

At Databricks, our core values 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. As a recognized thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events. 

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:

  • Lead and manage complex enterprise customer accounts with custom requirements and exceptional care.
  • Deliver compelling demos and pitches to budget holders.
  • Be a role model within Field Engineering, be recognized as a leader, and exemplify Databricks' core principles.
  • Collaborate with Field Engineering leaders to mentor and develop Solutions Architects and Senior SAs.
  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
  • Work across the region to develop and implement best practices and efficient processes.
  • Develop your internal network within Databricks to establish close relationships with key stakeholders as SME, products and leaders.

What we look for:

  • Experienced in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
  • Ability to drive technical and business conversations with C-level executives of financial institutions to develop relationships, orchestrate teams and influence outcomes to achieve long-term customer success.
  • Skilled in identifying and prioritising key use cases, resource allocations, and investment focus.
  • Strong experience in the Data landscape, with a proven track-record of successful engagements in at least one Data Engineering or Data Science discipline.
  • 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.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Top Skills

Data Engineering
Data Science
Java
Public Cloud Platforms
Python
Scala
Spark
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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