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Solutions Architect – Financial Services
| Company | Databricks |
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| Location | Toronto, ON, Canada |
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| Salary | $160500 – $246100 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka), Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO), Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
- Experience translating a customer’s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
- Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
- Fluent in SQL and database technology.
- Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
Responsibilities
- Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
- Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
- Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
- Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
- Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Preferred Qualifications
- Built solutions with public cloud providers such as AWS, Azure, or GCP
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
