Databricks

4 weeks ago

Sr. Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Solutions Engineer at Databricks, focusing on delivering technical value to clients through hands-on Spark-based proof-of-concept work, architecture guidance, and collaborative pre-sales engagements. You will build relationships with customers, contribute to the Databricks community, and help shape demonstrations and reference architectures while progressing toward independent Solutions Architect responsibilities.

Location: Berlin, Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.

Key Requirements

•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.
•Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
•Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
•Develop experience in solution architecture and design, and contribute to pre-sales efforts toward becoming an independently operating Solutions Architect.

Experience:Big Data AnalyticsSparkCloud

Skills:CommunicationPresentationCustomer-facingProblem-solvingTeam collaboration

Languages:English

Tech Stack:PythonJavaScalaSparkDatabricksCloudReference architectures

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

4 weeks ago

Sr. Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Berlin, Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.

Key Requirements

•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.
•Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
•Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
•Develop experience in solution architecture and design, and contribute to pre-sales efforts toward becoming an independently operating Solutions Architect.

Experience:Big Data AnalyticsSparkCloud

Skills:CommunicationPresentationCustomer-facingProblem-solvingTeam collaboration

Languages:English

Tech Stack:PythonJavaScalaSparkDatabricksCloudReference architectures

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn