Pre-sales Senior Technical Solutions Engineer (Data and AI) at Databricks

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

04 Oct, 26

Salary

0.0

Posted On

06 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Generative AI, Machine Learning, Data Warehousing, Data Engineering, Pre-sales, Python, Java, Scala, Big Data Analytics, AWS, GCP, Azure, Solution Architecture, Spark Programming, Customer Relationship Management

Industry

Software Development

Description

Req ID: FEQ327R439 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. The impact you will have: Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how-tos, and demo applications. Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for: Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / 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 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 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.

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Responsibilities

Collaborate with Account Executives to provide technical and business value to clients through hands-on evaluations and Spark programming. Act as a Big Data Analytics advisor by authoring reference architectures and developing customized solutions for complex data challenges.