Field Engineering, Data Engineering Product Specialist

Join to apply for the Field Engineering, Data Engineering Product Specialist role at Databricks . As the Data Engineering Product Specialist, you will be defining our technical go‐to‐market strategy and driving Data Engineering Product Adoption in the Asia Pacific and Japan region. The Impact You Will Have Lead the vision and strategy for data engineer product adoption in Asia Pacific and Japan Develop materials for our GTM team to effectively communicate our value proposition Support our field teams in key strategic pursuit opportunities Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market Act as the thought leader to build confidence and relationships with our customers at the executive level Present externally at conferences, events and webinars and publish content to establish our position in the market Work with post‐sales and partners to establish best practices Act as a cross‐functional representative with Product Management, Product Marketing and Engineering on our go‐to‐market motion What We Look For 10+ years of experience in data engineering and familiar with modern lakehouse architectures Deep technical knowledge of the data engineering technologies, e.g. Spark, SQL, Databricks Lakeflow, etc. Deep technical knowledge of the data engineering patterns and architecture, e.g. batch and streaming processing, data modelling, performance optimisation, etc. Trusted advisor to technical executives that inform strategic data decisions Proven track record of successful pre‐sales experience in competitive situations Ability to define and execute strategic program cross‐functionally High impact communication internally and externally 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 SparkTM, 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 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 Mid‐Senior level Employment type Full‐time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Databricks by 2x. Get notified about new Field Engineer jobs in Singapore . #J-18808-Ljbffr