Full-Time

Solutions Architect

Public Sector

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$139.9k - $247.3kAnnually

+ Annual Performance Bonus + Equity

Senior

No H1B Sponsorship

Remote in USA

Candidates in Washington D.C., Virginia, and Maryland are preferred, and other EST time zone locations are also considered.

US Citizenship Required

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
Data Science
R
Apache Spark
SQL
Apache Kafka
Java
AWS
Scala
Hadoop
Databricks
Google Cloud Platform

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • Experience designing and architecting distributed data systems
  • Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
  • Experience supporting Public Sector clients
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
  • US Citizen
Responsibilities
  • Partner with the sales team to help customers understand how Databricks can help solve their business problems
  • Provide technical leadership for customers to evaluate and adopt Databricks
  • Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
  • Build and present references architectures, how-tos, and demo applications for customers
  • Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
  • Travel to customers in your region
Desired Qualifications
  • Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

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 simplify data management and analytics for its users, making it easier to derive valuable insights from their data.

Company Stage

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion in Series J funding for AI product development and expansion.
  • The platform's support for open-source models like Meta's Llama enhances its AI offerings.
  • Growing demand for real-time analytics boosts Databricks' adoption across industries.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share in the lakehouse sector.
  • Rapid AI advancements could render Databricks' offerings obsolete without continuous innovation.
  • Integration challenges with new acquisitions may disrupt operations and customer satisfaction.

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 offers robust integration capabilities across various cloud environments.

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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