Senior Solutions Engineer
Senior Solutions Engineer who partners with clients to demonstrate Databricks through technical evaluations, Spark programming, and cloud integrations. The role requires client-facing communication, Python, big data analytics, solution architecture, and data engineering experience.
About the job
Responsibilities
- Build successful relationships with clients across the assigned territory, providing technical and business value in collaboration with an Account Executive and Senior Solutions Architect.
- Generate client interest through hands-on evaluations, Spark programming, cloud ecosystem integrations, and third-party application integrations.
- Engage with the technical community through workshops, seminars, and meetups.
- Advise customers on big data analytics architecture and design.
- Author reference architectures, how-to guides, and demo applications.
- Develop technical and pre-sales skills toward independently operating as a Solutions Architect.
Requirements
- Experience working with clients, developing narratives, answering customer questions, aligning agendas with stakeholder interests, and achieving tangible outcomes.
- Ability to independently deliver technical propositions, identify customer pain points, explain business value, and build trusted-advisor relationships.
- Programming experience in a core language such as Python.
- Knowledge of a big data analytics domain, including exposure to advanced proofs of concept.
- Understanding of a major public cloud platform.
- Experience with solution architecture and data engineering.
Skills
Python, Spark, Big Data Analytics, Solutions Architecture, Data Engineering, Cloud Computing, Proofs Of Concept, Reference Architectures
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