Job Description
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!
Reporting to the Manager, Field Engineering.
The impact you will have:
Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.
Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science / AI / Machine Learning.
You will work with customers within the enterprise space focused on the Financial Services - Banking and/or Insurance (FSI) verticals.
Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
Develop customer relationships and build internal partnerships with account executives and teams.
Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.
Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.
Nice to have: Databricks Certification
The candidate must be able to commute to London offices regularly and travel approximately. 20-30% of the time across UK&I for customer visits
Reporting to the Manager, Field Engineering.
The impact you will have:
Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.
Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science / AI / Machine Learning.
You will work with customers within the enterprise space focused on the Financial Services - Banking and/or Insurance (FSI) verticals.
Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
Develop customer relationships and build internal partnerships with account executives and teams.
Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.
Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.
Nice to have: Databricks Certification
The candidate must be able to commute to London offices regularly and travel approximately. 20-30% of the time across UK&I for customer visits
💡 Quick Summary
Seeking a career-building opportunity? The Pre-sales Solutions Architect (Financial Services) position is now open for candidates interested in the Bank Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.