Sr. Solutions Engineer

Databricks
Berlin; Munich, DE
On-siteCareer-pivot friendly

Who this role is best for

Best suited to mid-level technical professionals with Big Data Analytics expertise and pre-sales experience, working in Germany within a collaborative, customer-focused team.

Best fit for

  • Technical professionals adept at creating narratives and aligning with customer interests.
    — “creating a narrative, answering customer questions, aligning the agenda with important interests
  • Candidates with hands-on experience in Spark programming and cloud ecosystems.
    — “hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem
  • Individuals aiming to transition from technical roles to solution architecture.
    — “Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect

Things to consider

  • Engagement in workshops and meet-ups is part of the role.
    — “engagement at workshops, seminars, and meet-ups
  • The role requires building relationships across an assigned territory.
    — “Form successful relationships with clients throughout your assigned territory

How to stand out

  • Highlight experience in authoring technical documents like reference architectures.
    — “authoring reference architectures, how-tos, and demo applications
  • Demonstrate proficiency in core programming languages such as Python or Scala.
    — “Code in a core programming language such as Python, Java, or Scala
  • Showcase your ability to identify and articulate customer pain-points.
    — “identify customers' pain-points, and explain important areas for business value
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

Skills & requirements

Required

Solutions EngineeringTechnical SalesCloud Ecosystem IntegrationBig Data Analytics

Preferred

AI Product KnowledgeCustomer SuccessTechnical Consulting

Stack & domain

Solutions EngineeringClient RelationshipsTechnical PropositionCustomer Pain-pointsBusiness ValueTrusted AdvisorProgrammingBig Data AnalyticsPublic CloudSolution ArchitectureDesignReference ArchitecturesHow-tosDemo ApplicationsPre-salesTechnical ExpertiseData ScienceAnalyticsAILakehouseApache SparkDelta LakeMlflowCommunicationProblem-solvingTeamworkAdaptabilityProactiveSolution-orientedTrustworthyReliabilityAttention To DetailCloudBig Data

About the role

Original posting from Databricks

FEQ427R161

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 customised 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: 

Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.

Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.

Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.

Become a Big Data Analytics advisor on aspects of architecture and design.

Support your customers by authoring reference architectures, how-tos, and demo applications.

Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.

Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.

Code in a core programming language such as Python, Java, or Scala.

Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.

Experience diving deeper into solution architecture and design.

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 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.

Source: Databricks careers

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