Req ID FEQ425R195

As a Pre-sales Solutions Architect (Data engineering, analytics, AI, big data, public cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a key part of the sales team, acting as a technical advisor, and working with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Data Intelligence platform, establishing a clear architectural vision and identifying compelling use cases, helping our customers realise value. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Senior Manager, Field Engineering.

The impact you will have:

You will be a big data engineering architect covering Data Engineering and Data Science areaLead your clients through evaluating and adopting the Databricks lakehouse platformSupport your customers by authoring reference architectures, how-tos, and demo applicationsEngage with the technical community (both internal and customer) by leading workshops, seminars and meet-upsTogether with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

Pre- or post-sales experience working with external clients providing thought leadershipWe are currently focusing on our Healthcare and Life Sciences vertical sector and would very much welcome such an experience.As this is a broad and varied role, you should have proven expertise in data, such as data engineering, architecture or data scienceExperience demonstrating technical concepts, including presenting and whiteboardingExperience designing and implementing architectures within a public cloud (AWS, Azure or GCP)You will have experience with at least some big data technologies, such as Spark, Hadoop, Cassandra, etc. applied to solutions within data engineering, data science, MLOps and platform migrationsFluent coding experience in one or more of the following: Python, R, Java or ScalaA minimum of a bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through demonstrable work experience

Benefits

Private medical insurancePrivate dental insuranceHealth Cash PlanLife, income protection & critical illness insurancePension PlanEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus

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.