Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services
Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services

Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services

London Full-Time 48000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Engage with complex customers to demonstrate our Data Intelligence Platform and create tailored solutions.
  • Company: Databricks is a leading data and AI company, trusted by over 10,000 organisations globally.
  • Benefits: Enjoy comprehensive perks, including remote work options and a commitment to diversity and inclusion.
  • Why this job: Join a collaborative team that values innovation and creativity while making a real impact in data analytics.
  • Qualifications: Technical background in Data Engineering, DWH, or ML/AI; coding skills in Python or SQL preferred.
  • Other info: Opportunity for up to 60% travel and continued professional development in various tracks.

The predicted salary is between 48000 - 84000 £ per year.

  • Financial Services – Insurance / Banking
  • Gaming/Gambling
  • Across all vertical sectors

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 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 customized solutions to help our customers achieve their goals and guide their businesses forward.

You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

  • Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.
  • Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.
  • You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
  • You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
  • Be a \’champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  • Contribute to Databricks\’ technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
  • Opportunity to continue your development in one of four tracks – technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

  • Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
  • You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background
  • You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
  • You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.
  • Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
  • Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.
  • Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.
  • Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
  • Nice to have: Databricks Certification
  • Up to 60% travel to London offices and customer site

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, please visit .

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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Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services employer: Databricks Inc.

At Databricks, we pride ourselves on being an exceptional employer that champions innovation and creativity within a collaborative work culture. Our commitment to employee growth is evident through diverse development tracks and the opportunity to engage with complex customer challenges across various sectors. With comprehensive benefits and a focus on diversity and inclusion, we empower our team members to thrive while making a meaningful impact in the world of data and AI.
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Contact Detail:

Databricks Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services

✨Tip Number 1

Familiarise yourself with the Databricks Data Intelligence Platform. Understanding its features and benefits will allow you to engage more effectively with potential customers and demonstrate how it can solve their data challenges.

✨Tip Number 2

Network with professionals in the financial services sector, especially those who have experience with data engineering or machine learning. Building relationships with industry insiders can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss your experience with complex customer interactions and technical pre-sales processes. Be ready to share specific examples of how you've influenced decision-makers and navigated challenging environments.

✨Tip Number 4

Stay updated on the latest trends in data analytics and cloud technologies. Being knowledgeable about current developments will not only enhance your conversations with clients but also position you as a thought leader in the field.

We think you need these skills to ace Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services

Technical Expertise in Data Engineering or Data Warehousing
Machine Learning/AI Knowledge
Customer Engagement Strategies
Complex Problem-Solving
Influencing Stakeholders and C-Level Executives
Proficiency in Core Programming Languages (Python, SQL)
Familiarity with Spark
Hands-on Experience with Public Cloud Platforms (AWS, Azure, Google)
Ability to Develop Technical Solutions for Customer Needs
Experience with Proofs-of-Concept
Strong Communication Skills
Collaboration with Cross-Functional Teams
Adaptability to Ambiguous Requirements
Coaching and Mentoring Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, data warehousing, or machine learning/AI. Emphasise any previous roles where you engaged with complex customer interactions or worked in a pre-sales capacity.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Discuss how your technical expertise aligns with Databricks' mission and values, and provide examples of how you've successfully influenced stakeholders in past roles.

Showcase Technical Skills: Clearly outline your technical skills, especially in programming languages like Python or SQL. Mention any hands-on experience with cloud platforms such as AWS, Azure, or Google, and highlight any Databricks certifications if you have them.

Demonstrate Customer-Centric Mindset: Illustrate your ability to develop customer engagement strategies and your experience in coaching teams. Use specific examples to show how you've helped customers achieve their goals through tailored solutions.

How to prepare for a job interview at Databricks Inc.

✨Understand the Databricks Vision

Familiarise yourself with Databricks' mission and core values. Be prepared to discuss how their Data Intelligence Platform can solve complex data challenges for customers, and think about how your experience aligns with their vision.

✨Showcase Your Technical Expertise

Highlight your background in Data Engineering, Data Warehousing, or Machine Learning/AI during the interview. Be ready to discuss specific projects where you've successfully implemented technical solutions, especially using Python, SQL, or Spark.

✨Prepare for Customer Engagement Scenarios

Anticipate questions about how you would engage with complex customers and navigate their unique challenges. Think of examples from your past experiences where you've influenced decision-makers and built strong relationships.

✨Demonstrate Collaborative Skills

Since the role involves working closely with cross-functional teams, be prepared to discuss how you've collaborated with others in previous roles. Share examples of how you’ve coached peers or contributed to team success in a pre-sales environment.

Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services
Databricks Inc.
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  • Senior Pre-sales Solutions Architect (DE or DWH or ML/AI) Financial Services

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-07-16

  • D

    Databricks Inc.

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