# Staff Technical Solutions Engineer, Data & AI

**Company**: Databricks
**Location**: Sao Paulo, Brazil
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8920303002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_76155955-161

## Description

As a Staff Data & AI Technical Solutions Engineer, you will personally drive and mentor others in producing Data & AI technical solutions for any issues reported by customers.

You have deep expertise in Data & AI architectures, having seen a broad set of use cases and successfully maintained complex production environments while adhering to SLA’s.

Your responsibilities include:

- Leading and driving technical solutions for a breadth of complex problems reported by Databricks customers

- Deep diving into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products

- Serving as a customer support advisor and diffusing escalations during incidents

- Helping make Databricks products simpler to use and customer production environments more stable

- Mentoring others in technical areas to spread knowledge

Requirements:

- Minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines

- Expertise in SQL databases or data warehouses and ETL technologies

- 5 years of hands-on experience in developing two or more Big Data technologies

- Around 3 years of hands-on experience as a technical lead on a Data & AI Engineering team

- Prior Support or customer-facing experience is not required, but proven ability to influence cross-functionally is

Benefits:

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

## Skills

### Required
- Spark
- Data & AI
- SQL
- ETL
- Big Data
- Data pipelines
- Databricks

### Nice to have
- public cloud
- AWS
- Azure
- GCP

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8920303002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)