Sr. Solutions Engineer
Aviso de fuente externaen Databricks
Partner with Databricks customers to design scalable data architectures, advise technical teams, and demonstrate the Databricks platform.
Salario
No especificado
Ubicación
Mexico City, México
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Sr. Solutions Engineer
Mexico City, México
Descripción del empleo
About the role
As a Sr. Solutions Engineer at Databricks within the Field Engineering org, you will partner with customers to design scalable data architectures using Databricks technology and services. You will bring technical depth and business knowledge to complex technology discussions and communicate the value of the Databricks platform throughout the sales lifecycle. You will work with customer technical leads, including architects, engineers, and operations teams, to become a trusted advisor and help achieve tangible outcomes. You will represent customer needs across Databricks and its executive leadership, build valuable customer engagements, and report to the Field Engineering Manager.
Responsibilities
- Work with Sales and other essential partners to develop account strategies for assigned accounts and 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 to help prospects understand how Databricks can help them achieve their goals, land new users, and develop use cases.
- Consult on big data architectures, data engineering pipelines, and data science and machine learning projects to capture the technical win.
- Prove out Databricks technology for strategic customer projects and validate integrations with cloud services and third-party applications.
- Become an expert in and promote Databricks-inspired open-source projects, including Spark, Delta Lake, MLflow, and Koalas, through meetups, conferences, and webinars.
Requirements
- 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
- Expertise in at least one of the following technologies: big data engineering, such as Spark, Hadoop, or Kafka.
Datos clave
- The role reports to the Field Engineering Manager.
- Requires 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
- Requires expertise in at least one listed technology area, including big data engineering.
Preguntas frecuentes
What does the role involve?
You will partner with customers to design scalable data architectures using Databricks technology and services, and communicate the platform’s value throughout the sales lifecycle.
What experience and technical expertise are required?
The listing requires 4+ years in a customer-facing pre-sales, technical architecture, or consulting role, with expertise in at least one listed technology area. Big data engineering examples include Spark, Hadoop, and Kafka.
What open-source projects will I promote?
The role promotes Databricks-inspired open-source projects including Spark, Delta Lake, MLflow, and Koalas.