Full-Time

Pre-sales Solutions Engineer

Emerging, Start-up, Dnb

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Junior, Mid

London, UK

Role requires travel to customer sites and regular commuting to London offices.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
Data Science
Java
AWS
Scala
Databricks
Google Cloud Platform
Requirements
  • Experience, technical customer-facing and with a background in Data Engineering, Data Warehousing or Data Science / Machine Learning.
  • Any experience of Pre-sales or post-sales experience working with external clients.
  • Familiarity 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) preference in AWS or Azure but not essential.
  • Experience diving deeper into solution architecture and design.
  • The role requires travel to customer sites and ideally candidate is able to commute to London offices regularly.
  • Nice to have: Databricks Certification.
  • The candidate must be able to commute to London offices regularly and travelling approx. 20-30% of the time across UK&I for customer visits.
Responsibilities
  • Create excitement from clients about Databricks with our rich offering of 1-many webinars, customer office hours, hands-on evaluation, integrating with the wider cloud ecosystem, 3rd party applications and partners.
  • Form successful relationships with clients throughout your assigned territory, working with account executives and wider Databricks stakeholders to provide technical and business value.
  • Help build the Databricks technical footprint through engagement at business reviews, workshops, Data and GenAI events 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.
  • You will advise our customers as a trusted advisor on how to best realize their Data and GenAI use cases.

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks offers solutions that simplify data ingestion, management, and analysis, operating on a subscription-based model where clients pay for access to its features. The platform includes automated ETL processes, secure data sharing, and high-performance analytics, and it also supports machine learning and AI workloads, enabling users to build and deploy models at scale. Databricks aims to streamline data management and analytics for its users, setting itself apart from competitors by integrating various data handling capabilities into a single platform.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10B, boosting its valuation to $62B for global expansion.
  • The company reports a $3B revenue run rate, indicating strong financial performance.
  • Databricks' expansion into Saudi Arabia aligns with Vision 2030, enhancing Middle East presence.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Integration challenges with acquisitions like Tabular may disrupt operations.
  • Expansion into new markets may expose Databricks to geopolitical and regulatory risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows efficiently.
  • Databricks integrates seamlessly with various cloud services for enhanced data management.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave