# Solutions Architect - Public Sector (SLED)

**Company**: Databricks
**Location**: Remote - Texas
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $180,000-$247,500 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8633741002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_51903d61-11b

## Description

Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform.

As a member of our team, you will exercise and develop expertise in cloud platforms, data engineering, data analytics, and data science and machine learning, using open-source projects such as Apache Spark, MLflow, and Delta Lake.

This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value.

The impact you will have:

- 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 reference 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

What we look for:

- 6+ 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)

- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

- US Citizen

Benefits:

- Comprehensive benefits and perks that meet the needs of all employees

Pay Range Transparency:

- The pay range(s) for this role is $180,000-$247,500 USD

## Skills

### Required
- Apache Spark
- MLflow
- Delta Lake
- Python
- Scala
- Java
- SQL
- R
- AWS
- Azure
- GCP
- Data Engineering
- Data Warehousing

### Nice to have
- Degree in Computer Science
- Applied Mathematics
- Operations Research

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8633741002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)