Specialist Solutions Architect
Hls
Confirmed live in the last 24 hours
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
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Apache Spark
SQL
Apache Kafka
Java
Scala
Hadoop
Data Analysis
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Requirements
  • 5+ years hands on experience in a technical role with expertise in at least one of the following: Data Scientist/ML Engineer, MLOps Engineer
  • Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems
  • Experience maintaining and extending production data systems to evolve with complex needs
  • Deep Specialty Expertise regarding ML concepts including Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow
  • Production programming experience in SQL and Python, Scala, or Java
  • 2 years hands-on professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures
  • 2 years customer-facing experience in a pre-sales or post-sales role
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Ability to travel up to 30% when needed
Responsibilities
  • Provide technical leadership to guide strategic customers to successful implementations on big data projects
  • Architect production level workloads, including end-to-end ML pipelines load performance testing and optimization
  • Become a technical expert in Databricks Machine Learning and MLOps technologies
  • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
  • Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
  • Contribute to adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community