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 from Washington DC, Virginia, and Maryland are encouraged.

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
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 unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform supports various users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. Databricks offers solutions for data ingestion, management, and analysis, featuring automated ETL processes, secure data sharing, and high-performance analytics. It also supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike its competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services, which allows for a more predictable cost structure for clients. The company's goal is to empower organizations to leverage their data 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 $10 billion, valuing the company at $62 billion in 2023.
  • The company plans to expand globally, including into Saudi Arabia, enhancing market presence.
  • Growing demand for real-time analytics boosts Databricks' lakehouse architecture adoption.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share.
  • Rapid AI advancements could render Databricks' offerings obsolete without innovation.
  • Regulatory scrutiny over data privacy may impact Databricks' operations in new regions.

What makes Databricks unique

  • Databricks offers a unique lakehouse architecture combining data lakes and warehouses.
  • The platform supports seamless integration with various cloud services for data management.
  • Databricks provides automated ETL processes and high-performance analytics capabilities.

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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