Lead Migrations Solutions Architect
Posted on 3/22/2024
Databricks

5,001-10,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Data & Analytics

Company Stage

Series I

Total Funding

$4.2B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

14%

1 year growth

42%

2 year growth

123%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Sales
Apache Spark
SQL
AWS
Google Cloud Platform
CategoriesNew
Data Engineering
Data Management
Data Analysis
Data & Analytics
Requirements
  • Experience in designing and delivering Enterprise Data Warehousing Solutions in a client or customer environment
  • Ability to advise customers in Data Warehousing architecture
  • Certification and/or demonstrated competence in the major cloud platforms (AWS, GCP, Azure)
  • Demonstrated competence in the Databricks platform including hands-on experience with Apache Spark, Python and SQL
  • Experience in pre-sales selling
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience
Responsibilities
  • Deliver thought leadership and best-practices in Data Warehousing and in particular in migrating data warehousing workloads from legacy tools to the Databricks Lakehouse Platform
  • Provide guidance and oversight for large-scale enterprise data warehouse migrations, serving as a trusted technical advisor to senior tech leads and executives
  • Become a technical expert in areas such as cloud platforms, data management, performance, and architecture
  • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
  • Improve community adoption (through tutorials, training, hackathons, conference presentations)