# Solutions Architect - Financial Services (Hunter)

**Company**: Databricks
**Location**: Georgia; Illinois; Massachusetts; New Jersey; New York; Washington, D.C.
**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/8604470002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c73f1f81-a60

## 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:

- 7+ 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

- Have built solutions with public cloud providers such as AWS, Azure, or GCP

- Data Engineering technologies (e.g. Spark, Hadoop, Kafka)

- Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)

- Experience supporting Financial Services clients is a plus

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

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Local Pay Range $180,000-$247,500 USD

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

## Skills

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

### Nice to have
- Financial Services

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8604470002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)