Senior Solutions Architect (Utilities/Energy)

Databricks

Req ID - FEQ227R148 x 4 new roles Location: London Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build 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 pre-sales, 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:  * Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality. * Manufacturing, Energy, Utilities and Industrials * Travel, Transport and Logistics * Financial Services and Insurance * Public Sector * Consumer Package Goods (CPG) / Retail * 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.

Databricks

Req ID - FEQ427R59 Location: London Recruiter: Kanwal Matharu  At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build 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 pre-sales, 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:  * Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality. * Manufacturing, Energy, Utilities and Industrials * Travel, Transport and Logistics * Financial Services and Insurance * Public Sector * Consumer Package Goods (CPG) / Retail * 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.

Databricks

REQ ID: FEQ327R463  Recruiter: Dina Hussain Location: London, United Kingdom Industry Sector: Energy, Resources and Utilities sectors As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Energy and Resources sector. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.    You will report to the Senior Director, Field Engineering.   The impact you will have: * Manage hiring, onboarding and building your Pre-Sales Solutions Architect team * Where required, rapidly scale the designated team without sacrificing quality * Use AI natively yourself to drive efficiency and scale * Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture * Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles * Promote a solution and value-based selling field-engineering organisation * Display an understanding of business needs and revenue potential for accounts in the assigned region * Build Databricks' brand in UK&I in partnership with the Marketing and Sales team * Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions * Help Databricks continue to expand by winning hearts and minds as we evolve our processes to support our business and technical growth   What we look for: * AI native builder mentality - using AI to enhance your own productivity and that of your team is a non-negotiable * Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. * Experience in a customer-facing role across the Energy, Resources and Utilities  sectors in the UK and Ireland * Experience in developing go-to-market (GTM) strategies * Experience in complex strategic accounts  * Have experience scaling and mentoring field and technical teams * Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models * Great at instituting processes for technical field members to improve efficiency * Market experience of the UK&I region 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.