Full-Time

Partner Solutions Architect

Data and AI

Posted on 7/1/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

London, UK

Requires up to 40% travel to GSI Partner sites and the London offices.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Sales
Java
Scala
Requirements
  • Extensive experience hands-on as a Data Professional Role
  • Prior experience with coding in a core programming language (i.e., Python, Java, Scala)
  • Designing and implementing and maintaining end to end Data Architectures for Big Data, Data Warehousing and AI on MPP based platforms
  • Managing multiple, frequently changing priorities across multiple teams
Responsibilities
  • Accelerate Partner pre-sales and delivery in joint, strategic customer accounts by aligning Partner and Databricks Resources and providing technical expertise
  • Grow the Partner Databricks delivery capability by providing technical expertise to help design, build and maintain repeatable solutions using Databricks Products and Services
  • Develop, maintain and grow Senior Technical Executive relationships to identify new business opportunities, innovative use cases and support joint go to market initiatives.
  • Conduct training sessions, workshops, and webinars to educate partners on new technologies, features, and best practices.
  • Develop and maintain technical content such as whitepapers, case studies, and solution guides to assist partners in leveraging the Databricks offerings.

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. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.

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

INACTIVE