Role at a glance
- Job function
-
Software Engineering & IT Solutions Architecture
- Salary
- Not Disclosed
- Location
- Heredia, Costa Rica
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's
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About the role
Original posting provided by Databricks
CSQ427R351
At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale.
The impact you will have:
- You will ensure customers have an excellent experience by independently owning engagements across their lifecycle.
- You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows.
- You will work directly with multiple customers concurrently and set the quality bar for the team.
- Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform.
- Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience.
- 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
- Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus.
- Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows.
- Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs.
- Excellent time management and prioritization skills.
- Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are 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 looking for employment at Databricks 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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.