Senior Solutions Architect
Provides technical leadership and customer-facing consulting for Databricks data and AI solutions, including architecture design, proofs of concept, integrations, and cloud implementations. Requires 15+ years of relevant experience and deep expertise in big data technologies.
About the job
Responsibilities
- Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve their business problems.
- Develop book-of-business and account strategies with the sales team, and execute those strategies for customers and prospects.
- Consult on big data architectures and implement proofs of concept for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, homegrown tools, and third-party applications.
- Collaborate with other Solutions Architects to support colleagues and users.
- Promote Databricks open-source projects, including Apache Spark, Delta Lake, and MLflow, and recruit contributors from the developer community.
- Travel to customers in the region as needed.
Requirements
- 15+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
- 10+ years of experience with big data technologies, including Apache Spark, AI, data science, data engineering, Hadoop, and Cassandra.
- Strong consulting and customer-facing experience with external clients across multiple industries.
- Coding experience in Python, R, Java, Apache Spark, or Scala.
- Experience building distributed data systems.
- Experience building solutions with public cloud providers such as AWS, Azure, or Google Cloud.
Nice to Have
- Databricks Certification.
Compensation and Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
Spark, Python, R, Java, Scala, Hadoop, Cassandra, AWS, Microsoft Azure, GCP, Delta Lake, MLflow, Databricks, SQL
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