# Sr. Manager, Partner Solutions Architect

**Company**: Databricks
**Location**: Singapore
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8073294002
**Canonical**: https://yubhub.co/jobs/job_2e0299ca-670

## Description

As a Sr. Manager, Partner Solutions Architect, you will lead a team of Partner Solution Architects to help mature our consulting & SI partner development function. You will provide technical guidance for practices at our consulting partners, spanning pre-sales teams and their data analytics delivery organizations. Your experience and influence will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem.

Key responsibilities include:

- Growing a team of Partner Solutions Architects for a company in high-growth mode

- Ensuring partners have a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers

- Identifying valuable business-impacting offers and guiding the adoption of the Databricks platform into partner solutions

- Establishing partners as trusted advisors by having strong capability and Databricks practices

- Building a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values

Requirements include:

- 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS

- Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers

- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models

- Great at instituting processes for technical field members to promote efficiency

- Bachelor's Degree in STEM subject, or MSc desirable

- Technical background either in Data Engineering / Database technologies or Data Science

## Skills

### Required
- pre-sales
- post-sales
- Big Data
- Cloud
- SaaS
- Data Engineering
- Database technologies
- Data Science