# Solutions Architect

**Company**: Databricks
**Location**: Bengaluru, India
**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/8795446002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_292f9ad1-273

## Description

As a Solutions Architect in a Global Capability Center (GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with sophisticated Data and AI teams globally.

You will be deeply embedded with strategic accounts, serving as a trusted technical advisor while collaborating with internal sales, product, and engineering teams.

Your goal will be to help customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, integrating it into their enterprise ecosystem.

### Responsibilities

- Be a trusted technical advisor for one or more named strategic accounts, building deep relationships with their data, AI/ML, and platform engineering leaders.

- Help shape and drive your customer's AI strategy, partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures.

- Partner with the sales team to provide hands-on technical leadership and help large enterprise customers understand how Databricks solves their business problems.

- Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects.

- Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies.

- Collaborate across regions with fellow Solutions Architects and account teams, supporting customers with consistent architectural guidance.

- Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects.

### Requirements

- 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role.

- 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark, data engineering, data science, and modern AI/ML workloads.

- Strong hands-on architectural experience.

- Demonstrated experience working with large enterprise or Fortune 500 customers.

- Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus.

- Strong consulting / customer-facing experience.

- Coding experience in Python, SQL, Scala, Java, or R.

- Experience building distributed data systems at enterprise scale.

- Hands-on experience with at least one major public cloud (AWS, Azure, or GCP).

- Available to travel to customers in your region and occasionally internationally.

### Benefits

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

## Skills

### Required
- Apache Spark
- data engineering
- data science
- Python
- SQL
- Scala
- Java
- R
- Big Data
- AI technologies
- modern AI/ML workloads
- distributed data systems
- public cloud
- AWS
- Azure
- GCP

### Nice to have
- prior experience working in or with a Global Capability Center model
- Databricks Certification

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8795446002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)