Role at a glance
- Salary
- Not Disclosed
- Location
- Mexico City
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 4+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Education
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
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Role Summary
The Sr. Solutions Engineer joins Databricks' Field Engineering org and partners with customers and Account Executives to design scalable data architectures using Databricks technology and services. The role supports customer outcomes throughout the sales lifecycle by serving as a trusted technical advisor and representing customer needs across Databricks.
What You'll Do
- Develop account strategies with Sales and other partners to grow platform usage.
- Establish the Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning.
- Build and present reference architectures and demo applications for prospects.
- Consult on big data architectures, data engineering pipelines, and data science and machine learning projects.
- Prove out Databricks technology for strategic customer projects and validate integrations with cloud services and third-party applications.
- Promote Databricks-inspired open-source projects across developer communities through meetups, conferences, and webinars.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
4+ years in a customer-facing pre-sales, technical architecture, or consulting role; expertise in big data engineering, data warehousing and ETL, data science and machine learning, or data applications; experience translating business needs into technology solutions and establishing stakeholder buy-in; experience designing, architecting, and presenting data systems and managing delivery of production solutions; fluent in SQL and database technology; debug and development experience in Python, Scala, Java, or R.
Required
- 4+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Expertise in big data engineering, data warehousing and ETL, data science and machine learning, or data applications
- Experience translating a customer's business needs to technology solutions and establishing buy-in with customer stakeholders
- Experience designing, architecting, and presenting data systems for customers and managing delivery of production solutions
- Fluent in SQL and database technology
- Debug and development experience in Python, Scala, Java, or R
Preferred
- Built solutions with public cloud providers such as AWS, Azure, or GCP
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.