Lead Pre-sales Solutions Architect (Energy, Utilities, Manufacturing)
Databricks, Inc., City of Westminster
Lead Pre-sales Solutions Architect (Energy, Utilities, Manufacturing)
Salary not available. View on company website.
Databricks, Inc., City of Westminster
- Full time
- Permanent
- Onsite working
Posted 2 weeks ago, 19 Jun | Get your application in now before you miss out!
Closing date: Closing date not specified
job Ref: 8d4897379d4541df808286b452199c38
Full Job Description
Lead Pre-sales Solutions Architect (Energy, Utilities, Manufacturing)
JOB ID: FEQ326R292
Recruiter: Dina Hussain
HM: Nilanga Fernando
Location: London, UK
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. As a recognised thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events.
You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use 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 a true subject matter expert in the Energy, Utilities or Manufacturing industries - demonstrating a decade plus of experience in leading and driving data platform transformations in these specific industries - this can either be through direct roles in companies in these industries or by serving them as customers (e.g. software and/or consulting). You will need to be able to speak the language of customers in these high-growth industries and couple this with deep data and AI domain expertise as well.
Reporting to the Senior Director, Field Engineering.
The impact you will have:
- Lead and manage complex and strategic customer accounts with custom requirements and exceptional care.
- Deliver compelling demos and pitches to budget holders, showcasing a deep understanding of the Banking and Insurance domain.
- Be a role model within Field Engineering, be recognised as a leader, and exemplify Databricks' core principles.
- Collaborate with Field Engineering leaders to mentor and develop Solutions Architects and Senior SAs.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Work across the region to develop and implement best practices and efficient processes.
- Develop your internal network within Databricks to establish close relationships with key stakeholders as SME, products and Financial Services leaders.
What we look for:
- Deep industry experience working in data and AI projects in Energy, Manufacturing or Utilities (10 years+).
- Experienced in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
- Ability to drive technical and business conversations with C-level executives of financial institutions to develop relationships, orchestrate teams and influence outcomes to achieve long-term customer success.
- Skilled in identifying and prioritising key use cases, resource allocations, and investment focus.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
- Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
- Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
- The candidate must be able to commute to London offices regularly (min 2 days per week) and travel approximately 20-30% of the time across UK&I for customer visits.
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.
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, please visit our benefits portal.
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.
London, United Kingdom
#s1-Gen
Deep industry experience working in data and AI projects in Energy, Manufacturing or Utilities (10 years+)
Experienced in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
Ability to drive technical and business conversations with C-level executives of financial institutions to develop relationships, orchestrate teams and influence outcomes to achieve long-term customer success.
Skilled in identifying and prioritising key use cases, resource allocations, and investment focus.
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
The candidate must be able to commute to London offices regularly (min 2 days per week) and travel approximately. 20-30% of the time across UK&I for customer visits
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. As a recognised thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events.
You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use 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 a true subject matter expert in the Energy, Utilities or Manufacturing industries - demonstrating a decade plus of experience in leading and driving data platform transformations in these specific industries - this can either be through direct roles in companies in these industries or by serving them as customers (e.g. software and/or consulting). You will need to be able to speak the language of customers in these high-growth industries and couple this with deep data and AI domain expertise as well.
Reporting to the Senior Director, Field Engineering.
The impact you will have:
Lead and manage complex and strategic customer accounts with custom requirements and exceptional care.
Deliver compelling demos and pitches to budget holders, showcasing a deep understanding of the Banking and Insurance domain.
Be a role model within Field Engineering, be recognised as a leader, and exemplify Databricks' core principles.
Collaborate with Field Engineering leaders to mentor and develop Solutions Architects and Senior SAs.
Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Work across the region to develop and implement best practices and efficient processes.
Develop your internal network within Databricks to establish close relationships with key stakeholders as SME, products and Financial Services leaders., 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.BenefitsAt 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, please visit https://www.mybenefitsnow.com/databricks.
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
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