# Senior Solutions Architect - AI/BI

**Company**: Databricks
**Location**: Munich, Germany
**Work arrangement**: onsite
**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/8437301002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_821d6af4-827

## Description

The Solutions Architect (AI/BI) team executes on Databricks' strategic Product Operating Model to establish product market fit and set the course for rapid revenue growth.

As a Senior Solutions Architect - AI/BI, you will collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

Key responsibilities include:

- Collaborating with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

- Serving as a trusted advisor and expert Solutions Architect, building technical credibility with stakeholders to drive product adoption and vision.

- Enabling clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.

- Influencing product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.

To be successful in this role, you will need:

- 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.

- Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.

- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.

- Proficient in programming, debugging, and problem-solving using SQL and Python.

- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).

- Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.

Required skills include:

- Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment.

- Ability to advise customers in lakehouse analytics architecture.

- Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers.

- Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL.

Preferred skills include:

- Experience with Databricks products and services.

- Knowledge of data science and machine learning concepts.

This is a senior-level role that requires a strong background in data and AI, as well as excellent communication and collaboration skills.

## Skills

### Required
- Cloud-based Data Visualisation and Analytics Solutions
- Lakehouse analytics architecture
- Data visualisation and analytics systems
- Apache Spark
- Python
- SQL

### Nice to have
- Databricks products and services
- Data science and machine learning concepts

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8437301002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)