Sr. Product Specialist Solutions Architect

FEQ226R41

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.

As a Sr. Product Specialist Solutions Architect you will be a deep technical expert in how customers can be successful with developing analytical use-cases in the Lakehouse paradigm. You will work closely with both Product Management and the EMEA Field Engineering and Sales teams to act as the technical bridge between these critical organisations to help make the Data Intelligence Platform vision a reality for our customers. You will work closely with the Databricks Product Management team to drive adoption of Databricks features and ensure a consistent product vision for the EMEA technical field. You will work closely with Sales and FE leaders to help drive adoption of Databricks by identifying target accounts and messaging. You will support enablement activities for the EMEA technical field and sales teams and drive customer success through direct engagement and scale your expertise across EMEA.

You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and will be located in Germany. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Databricks best practices. The Product Specialist Solutions Architect owns the enablement and escalations within the EMEA Field Engineering team around relevant features.

**The impact you will have**:

- Working with sales and technical leaders drive adoption of Databricks analytical solutions across EMEA
- Deliver thought leadership in best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.
- Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
- Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
- Act as the level three point of escalation on the toughest technical challenges in the field that customers face to drive customer success.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

**What we look for**:

- Experience in designing and delivering cloud-based Data and AI Solutions in a client or customer environment
- Ability to advise customers in Databricks architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
- Cross-Cloud Expertise: Help customers build a multi-cloud analytics ecosystem with Databricks at the centre and provide solutions for customers looking for disaster recovery, fault tolerance and backup
- Certification and/or demonstrated competence in the data ecosystem 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
- Experience in pre-sales selling highly desired

**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**

**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