Senior Data Solutions Architect

Databricks; Ciudad de México; Presencial; MXN 700.000 - 1.100.000; Jornada completa

Descripción de la vacante

Databricks is seeking a Senior Solutions Engineer in Mexico City to partner with customers and design scalable data architectures using Databricks. You will work with executives and technical teams to translate business needs into technology solutions and drive adoption across the sales lifecycle.

You will present reference architectures, demos, and production-ready data pipelines while collaborating with field teams and customers to achieve tangible outcomes.

Formación

• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies.
• Experience translating business needs to technology solutions and presenting value to stakeholders at all levels.
• Ability to design, architect, and present data systems and production data architectures.

Responsabilidades

• Partner with Sales to develop account strategies and grow platform usage.
• Establish Databricks Lakehouse architecture as the standard data architecture for customers.
• Build and present reference architectures and demo apps for prospects.
• Capture technical wins by consulting on big data architectures and data pipelines.
• Promote Databricks open-source projects across developer communities.

Conocimientos

Big data engineering

Data Warehousing & ETL

Data Science & ML

Data Applications

SQL

Python/Scala/Java/R

Cloud platforms (AWS/Azure/GCP)

Educación

Degree in a quantitative discipline

Herramientas

Spark

Hadoop

Kafka

Delta Lake

MLflow

Koalas

Descripción del empleo

Databricks is seeking a Senior Solutions Engineer in Mexico City to partner with customers and design scalable data architectures using Databricks. You will work with executives and technical teams to translate business needs into technology solutions and drive adoption across the sales lifecycle.

You will present reference architectures, demos, and production-ready data pipelines while collaborating with field teams and customers to achieve tangible outcomes.