Technical Services Engineer, 1st Shift, EST hours

REQ ID FEQ327R527   As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.   The impact you will have:  ● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.  ● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.  ● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.  ● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.  ● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.   What we look for:  ● 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:  ● Big data engineering (Ex: Spark, Hadoop, Kafka)  ● Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)  ● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)  ● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)  ● Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.  ● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.  ● Fluent in SQL and database technology.  ● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.  ● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP ● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)  ● Travel to customers in your region up to 30% of the time. 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 click here. 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.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are currently hiring for multiple teams:  Airbnb is powered by our Host and Guest communities. Our teams work on everything from driving improvements for the end-to-end Host and Guest experience to launching new product verticals from the ground up. Our job is to build world-class, comprehensive platforms and features to create high-quality experiences for our outstanding community of Hosts and Guests. Listings and Host Tools Data and AI (LHT-DnA) team is one of the 4 teams of the Marketplace-DnA org: The LHT-DnA team supports host personalization products and provides data driven solutions to achieve superior host experience on Airbnb. These products include but are not limited to managing your space (MYS), host quality standards etc. We own data pipelines and ML models and will build services for serving that are used in the above areas. Supply & Competitive Intelligence sits at the intersection of Data/AI and Airbnb’s competitive strategy. As part of this team, you will build systems that give Airbnb a real-time, comprehensive view of the global travel market — how competitors price, list, and supply their inventory across every market we operate in. Your work will feed ML models and data products that directly inform pricing strategy, supply growth, and product decisions for hundreds of millions of guests and hosts around the world. The Difference You Will Make: Marketplaces Data and AI team work on components related to users, listings and marketplace which are foundational to Airbnb, and the quality of their data is critical to the success of our products and business. To strengthen our data foundation and unlock greater value from our data and machine learning models. We are looking for a data-focused Staff Backend Engineer to help us craft the next generation of tools for Airbnb hosts. As a Staff Engineer, you will help drive the technology and implementation strategy to directly help hosts run their business day-to-day, proactively engaging with a wide range of teams and cross-functional partners to achieve your goals. A typical day: * Work with product and ML engineers to explore problem spaces and devise solutions to customer problems  * Prototype new ideas and influence the product strategy * Proactively collaborate with other engineering teams to develop an iterative plan to improve our APIs and architecture * Collaborate with other product engineers and partners to develop backend to support data and AI solutions * Create technical and execution strategies for new projects and drive hand-ons implementation of those solutions * Identify areas for improvement and champion the adoption of best practices in product development, engineering architecture, and testing * Perform technical design reviews and code reviews * Mentor and grow more junior engineers. YOUR EXPERTISE * 10+ years industry experience * You have experience leading teams, setting technical direction, building & launching high-impact user-facing products * You have experience influencing partners such as designers and product managers as well as other engineering teams * You are excited to ideate, prototype new ideas, and influence product direction * You have excellent communication skills and the ability to work well within a team and across engineering teams * You have demonstrated an ability to mentor and grow more junior engineers, set and drive best practices Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $204,000—$255,000 USD