![]() ![]() We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Our Commitment to Diversity and InclusionĪt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. ![]() Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide - including Comcast, Condé Nast, and over 50% of the Fortune 500 - rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Written and verbal fluency in Japanese and Englishĭatabricks is the data and AI company.Experience working with Enterprise Accounts.Fluent coding experience in Python or Scala implementing Spark, Java and R is also desirable.Experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.Experience designing and implementing architectures within public clouds (AWS, Azure or GCP).Experience demonstrating technical concepts, including presenting and whiteboarding.Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous.Pre-sales or post-sales experience working with external clients across a variety of industry markets.Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value.Engage with the technical community by leading workshops, seminars and meet-ups.Integrate Databricks with 3rd-party applications to support customer architectures.Support your customers by authoring reference architectures, how-tos, and demo applications.Lead your prospects through evaluating and adopting Databricks.You will be a Big Data Analytics expert on aspects of architecture and design.You will report to the Senior Manager of Field Engineering. 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 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 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. 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. ![]()
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