# Senior Solutions Engineer

**Company**: Databricks
**Location**: Aarhus, Denmark; Remote - Denmark
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8025494002
**Canonical**: https://yubhub.co/jobs/job_100be909-8a8

## Description

You will be an essential part of our mission to create a unified platform that makes data science and analytics accessible to everyone. As a Senior Solutions Engineer, you will use 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 who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Your responsibilities will include:

- Forming 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.

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

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

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

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

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

We look for individuals who are familiar with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. You should be able to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.

The ideal candidate will have knowledge of a core programming language such as Python, and be 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 Data Engineering is also desirable.

## Skills

### Required
- Python
- Big Data Analytics
- Spark
- Cloud Ecosystem
- Solution Architecture
- Data Engineering