Resident Solutions Architect
Data Engineering
Updated on 2/3/2024
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

12%

1 year growth

40%

2 year growth

130%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Bootstrap
Apache Spark
AWS
Scala
Data Analysis
Google Cloud Platform
CategoriesNew
Software Engineering
Requirements
  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines
  • Documentation and white-boarding skills
  • Experience working with clients and managing conflicts
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
  • Ability to travel up to 30% when needed
Responsibilities
  • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues
  • Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
Desired Qualifications
  • Experience with clients in the technology industry
  • Experience with big data and AI projects
  • Experience with Databricks platform