Sr. Solutions Architect
Partner with customers and Account Executives as a trusted advisor to design scalable Lakehouse architectures, consult on data engineering/ML projects, build reference architectures and demos, and drive technical wins throughout the sales lifecycle using Databricks platform. Requires 4+ years customer-facing pre-sales or consulting experience with big data, SQL, and at least one programming language.
About the job
Impact You Will Have
- 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.
What We Look For
- 4+ 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.
- [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Travel to customers in your region up to 30% of the time.
Skills
Spark, Hadoop, Kafka, SQL, Python, Scala, Java, R, AWS, Azure, GCP, Delta Lake, MLflow, pandas, scikit-learn
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