Senior Solutions Engineer (Data)

TL;DR

Senior Solutions Engineer (Data): Partnering with customers to design scalable data architectures using Databricks technology with an accent on technical depth and business value. Focus on driving complex technology discussions, establishing the Lakehouse architecture as a standard, and proving out strategic customer projects throughout the sales lifecycle.

Location: Mexico City (Hybrid)

Company

Databricks is the data and AI company, helping organizations unify and democratize data, analytics, and AI through its Data Intelligence Platform.

What you will do

• Develop account strategies with Sales to grow platform usage.
• Establish Databricks Lakehouse architecture as the standard for customers.
• Build and present reference architectures and demo applications for prospects.
• Consult on big data engineering pipelines and machine learning projects.
• Validate integrations with cloud services and third-party applications.
• Promote open-source projects like Spark, Delta Lake, and MLflow in developer communities.

Requirements

• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Expertise in big data engineering, data warehousing, or machine learning.
• Fluent in SQL and database technology.
• Debug and development experience in Python, Scala, Java, or R.
• Ability to translate business needs into technical solutions.
• Must be able to travel to customers in the region up to 50% of the time.

Nice to have

• Experience building solutions with AWS, Azure, or GCP.
• Degree in a quantitative discipline such as Computer Science or Applied Mathematics.

Culture & Benefits

• Comprehensive benefits and perks tailored to the region.
• Commitment to a diverse and inclusive culture.
• Opportunity to work with industry-leading data and AI technologies.