At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.

As a Product Specialist - Mosaic AI (Sr. Specialist Solutions Architect) you will be a deep technical expert in Gen AI and Machine Learning and in how customers can be successful with these 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 provide thought leadership on best practices around how to build and deploy compound AI systems with Databricks. You will work closely with the Databricks Product Management team to drive adoption of Mosaic AI 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 Mosaic AI 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 can be located in London. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Mosaic AI best practices. The Product Specialist - Mosaic AI owns the enablement and escalations within the EMEA Field Engineering team around relevant features.

The impact you will have:

Deliver thought leadership in Mosaic AI 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.
Working with sales and FE leaders drive adoption of Mosaic AI across EMEA
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.
Provide guidance and oversight for large-scale enterprise Mosaic AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives
Act as the level three point of escalation on the toughest technical challenges in the field that customers face to drive customer success.
Build and manage an SME group in EMEA field-engineering around Mosaic AI
Provide key messaging and approaches to ensure the EMEA technical field is prepared for competitive conversations

What we look for:

Experience in designing and delivering cloud-based Data Warehousing Solutions in a client or customer environment
Ability to advise customers in Data Warehousing 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 Azure ecosystem
Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL
Excellent communication skills; both written and verbal
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

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, please visit https://www.mybenefitsnow.com/databricks.

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.

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