Job Description

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.As a Pre-sales Solutions Architect (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 technical advisor internally to the sales team, and work 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 The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. 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 Director of Field Engineering.The impact you will have: You will be a Big Data expert on aspects of architecture and design on public cloud Lead your prospects through evaluating and adopting Databricks Support your customers by authoring reference architectures, how-tos, and demo applications Integrate Databricks with 3rd-party applications to support customer architectures Engage with the technical community by leading workshops, seminars and meet-ups Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business valueWhat we look for: Pre-sales or post-sales experience working with external clients across a variety of industry markets Understanding of customer-facing pre-sales or consulting role with a core strength in Data Engineering and Cloud Architect advantageous Written and verbal fluency in English and Cantonese. Fluency in Mandarin would be an added advantage Experience demonstrating technical concepts, including presenting and whiteboarding Experience designing and implementing architectures within public clouds (AWS, Azure or GCP) Experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Fluent coding experience in Python or Scala implementing Spark, Java Experience working with Enterprise Accounts Experience with Data Science and related technologies (R and various algorithms) would be a plus Candidates who are more experienced will be considered for a more senior roleBenefits Private medical, dental and optical Life, accident, disability and critical illness coverage Central Provident Fund for local nationals Equity awards Paid parental leave Gym reimbursement Annual personal development fund Work headphones reimbursement Business travel accident insuranceAbout DatabricksDatabricks is the data and AI company. More than 7,000 organizations worldwide -- including Comcast, Conde Nast, H&M, and over 40% of the Fortune 500 -- rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark(TM), Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on [ Link removed ] , [ Link removed ] and [ Link removed ] .Our Commitment to Diversity and InclusionAt 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.
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