Principal Specialist Solutions Architect

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Principal Specialist Solutions Architect

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DatabricksPrincipal Specialist Solutions Architect

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Principal Specialist Solutions Architect

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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

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 - Lakebase you will be a deep technical expert in OLTP systems and in how customers can be successful with developing analytical and transactional use-cases with OLTP databases within 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 Lakebase applications with Databricks. You will work closely with the Databricks Product Management team to drive adoption of Lakebase 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 Lakebase 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. 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 - Lakebase owns the enablement and escalations within the EMEA Field Engineering team around relevant features.

The Impact You Will Have

Deliver thought leadership in Lakebase 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 beyondWorking with sales and FE leaders drive adoption of Lakebase across EMEAProvide 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 strategiesProvide guidance and oversight for large-scale enterprise Lakebase competitive scenarios, serving as a trusted technical advisor to senior tech leads and executivesAct as the level three point of escalation on the toughest technical challenges in the field that customers face to drive customer successBuild and manage an SME group in EMEA field-engineering around LakebaseProvide 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, AI and OLTP Solutions in a client or customer environmentAbility to advise customers in Lakebase architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issueCross-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 backupCertification and/or demonstrated competence in OLTP systems along with one of Azure, AWS or GCP cloud providersDemonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQLExcellent communication skills; both written and verbalExperience 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.Seniority level

Seniority level Mid-Senior levelEmployment type

Employment type Full-timeJob function

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