Solutions Architect - Lakebase

Databricks Inc.; São Paulo; Presencial; BRL 350 000 - 550 000; Tempo integral

Resumo da oferta

Databricks is seeking a Solutions Architect (Lakebase) to lead strategy across assigned accounts, develop presentations, demos and assets, and enable clients to adopt our Lakebase product with impactful engagement. You will work with GTM leaders and account teams to drive adoption and craft collateral that scales.

The role requires proven pre-sales experience, strong SQL/Python skills, and hands‑on cloud experience across AWS/Azure/GCP, with a focus on data engineering, warehousing, AI/ML, and

Qualificações

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

Responsabilidades

• Design and execute high‑impact engagement strategies across your territory.
• Act as a trusted advisor to drive product adoption and vision.
• Enable clients at scale through workshops and collateral that increase technical knowledge.
• Influence product roadmap by translating field insights into strategic recommendations for Product and Engineering teams.
• Handle tier‑3 escalation for complex technical challenges in mission‑critical environments.

Conhecimentos

SQL

Python

Pre‑sales

Formação académica

Bachelor's degree in a technical field

Descrição da oferta de emprego

Overview

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit and set the course for rapid revenue growth. They are part of a global go‑to‑market team mandate, though individually will cover a specific local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster relationships, and position in‑depth knowledge of the product line to provide compelling reasons for adoption and growth.

Mission

Co‑devise and implement a strategy across assigned accounts, develop presentations, demos and other assets, and deliver them so clients can make informed decisions about product adoption in a meaningful way.

Lakebase product‑line core technical competencies

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre‑sales, with a proven track record of designing and delivering client‑facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.
• Experience architecting solutions that integrate 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 (vendor‑to‑vendor, on‑prem to cloud).

Impact you will have

• Collaborate with GTM leadership and account teams to design and execute high‑impact engagement strategies across your territory.
• Act as a trusted advisor and champion, building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and customer‑facing collateral that increases technical knowledge and thought leadership.
• Influence product roadmap by translating field‑derived, data‑driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier‑3 escalation point, ensuring customer success in mission‑critical environments.

Competencies & Responsibilities

• 6+ years in a customer‑facing, pre‑sales or consulting role influencing technical executives and driving high‑level data strategy and product adoption.
• Proven ability to co‑plan large territories with Account Executives and operate in a highly coordinated, cross‑functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third‑party consulting organizations to drive customer outcomes.
• 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 the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) 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.

About Databricks

Databricks is the data and AI company that unifies and democratizes data, analytics and AI. More than 10,000 organizations worldwide—including Comcast, Condé Nast and Grammarly—rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco, with offices around the globe.

Benefits

We strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, click here.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.