Full-Time

Pre-sales Solutions Engineer

Data Engineering and/or Data Warehousing

Posted on 1/20/2025

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Mid, Senior

London, UK

Requires 30% travel to customer sites in the UK and to the London offices.

Category
Data Engineering
Sales & Solution Engineering
Data & Analytics
Required Skills
Microsoft Azure
Python
Apache Spark
SQL
Java
AWS
Scala
Databricks
Google Cloud Platform
Requirements
  • Experience, technical customer-facing and with a background in Data Engineering (Spark, Databricks, etc) and / or Data Warehousing (BI, DWH, SQL, PowerBI) skills.
  • 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.
Responsibilities
  • 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 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 the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.
Desired Qualifications
  • Nice to have: Databricks Certification

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 streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to enhance data management and analytics for its users, making it easier to derive valuable insights from their data.

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 $10 billion, boosting its valuation to $62 billion in 2023.
  • The company plans to expand globally, including into the Middle East's AI sector.
  • Growing demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Rapid AI advancements may outpace Databricks' feature integration capabilities.
  • Regulatory scrutiny over data privacy could challenge Databricks' expansion efforts.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks integrates seamlessly with major 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