Databricks · 채용 중 791건
Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2
Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2
영업정규직시니어 · 경력 무관
Databricks에서 AI/ML 및 데이터 분석 분야의 기술적 전문성을 활용해 고객의 비즈니스 가치를 창출할 Senior Technical Solutions Engineer를 채용합니다. PySpark 등 프로그래밍 역량과 고객 대면 경험이 필수이며, 데이터 플랫폼을 활용한 솔루션 아키텍처 설계 및 기술 영업을 주도하게 됩니다. 영국 내 출장이 가능해야 하며, 데이터 과학 및 클라우드 환경에 대한 깊은 이해가 요구됩니다.
Req ID: FEQ327R439 x 2 New roles
Recruiter: Dina Hussain
Location: London (or surrounding areas)
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
You will be reporting to the Manager, Field Engineering.
Experience, technical customer-facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering.
You will be working in the following any of the following vertical sectors:
Entertainment, Media, Telco and/or Hospitality.
Financial Services and Insurance (FSI)
Retail / CPG (Consumer Package Goods)
Any experience in Pre-sales or post-sales experience working with external clients
Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
Code in a core programming language such as PySpark, Python, Java, or Scala.
Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
Experience diving deeper into solution architecture and design.
The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time
Nice to have: Databricks Certification
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.
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.