# Solutions Architect - Lakebase

**Company**: Databricks
**Location**: Sao Paulo, Brazil
**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/8567993002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ff0cfb54-513

## Description

The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model, focusing on earlier-stage product lines to establish product market fit and drive rapid revenue growth. You will work with clients, foster relationships, and position product lines to encourage adoption and growth.

Responsibilities:

- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

- Serve as an expert Solutions Architect and champion, building technical credibility with stakeholders to drive product adoption and vision.

- Enable clients at scale through workshops and developing customer-facing collateral.

- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations.

- Handle complex technical challenges as a tier-3 escalation point for the field.

Requirements:

- 10+ years of transactional database (OLTP) expertise.

- Credibility in influencing OLTP products with market insight.

- Experience architecting solutions integrating transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.

- Infrastructure, platform, and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations.

- 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives.

- Proven ability to co-plan large territories with Account Executives.

- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations.

- Proficient in programming, debugging, and problem-solving using SQL and Python.

- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).

- Broad experience across data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.

- Undergraduate degree in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

- A track record of driving complex projects to completion in fast-paced, customer-facing environments.

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

## Skills

### Required
- Transactional database (OLTP) expertise
- Big Data
- Lakehouse
- AI ecosystems
- Disaster recovery
- High availability
- Backup and recovery
- Scale-out methods
- Identity and security management
- Migrations
- SQL
- Python
- Public cloud environments (AWS, Azure, GCP)
- Data engineering
- Data warehousing
- AI
- ML
- Governance
- Transactional systems
- App development
- Streaming

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8567993002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)