Solutions Architect - Field Engineering

About the role

Databricks is hiring a Solutions Architect in its Field Engineering organization, based in Toronto only. You will partner with customers to design scalable data architectures using Databricks technology and services, working with Account Executives to become a trusted advisor to technical leads such as architects, engineers and operations teams. You will report to the Field Engineering Manager.

Key responsibilities

• Work with Sales and partners to develop account strategies that grow platform usage for assigned accounts.
• 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 to help them understand how Databricks can meet their goals.
• Advise on big data architectures, data engineering pipelines and data science and machine learning projects, prove out the technology for strategic projects and validate integrations with cloud services and third-party applications.
• Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences and webinars.

Required profile

• 5+ years in a customer-facing pre-sales, technical architecture or consulting role.
• Expertise in at least one of: big data engineering (e.g. Spark, Hadoop, Kafka), data warehousing and ETL, data science and machine learning, or data applications.
• Experience turning customer business needs into technology solutions and winning buy-in from stakeholders at all levels.
• Experience designing, architecting and presenting data systems and delivering production solutions.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of Python, Scala, Java or R.
• Willingness to travel to customers in your region up to 30% of the time.
• [Desired] built solutions with AWS, Azure or GCP; [desirable] degree in a quantitative discipline.

Required skills

• SQL and database technology
• Python, Scala, Java or R
• Big data tools such as Spark, Hadoop, Kafka, Delta Lake, MLflow, Koalas

The pay range for this role is $164,500-$224,000 CAD, and total compensation may also include eligibility for an annual performance bonus, equity and benefits.