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Senior Solutions Engineer

Senior Solutions Engineer partners with clients and sales teams to demonstrate data and analytics solutions, lead technical evaluations, and advise on architecture. The role requires client-facing communication, Python or SQL, big data analytics, cloud platforms, and data engineering experience.

About the job

Responsibilities

  • Build successful client relationships across an assigned territory in collaboration with Account Executives and Senior Solutions Architects.
  • Lead hands-on evaluations, including Spark programming, cloud integrations, and third-party application integrations.
  • Engage customers and 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, and achieving tangible outcomes.
  • Ability to independently deliver technical propositions, identify customer pain points, and explain business value.
  • Proficiency in a core programming language such as Python or SQL.
  • 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, SQL, Spark, Big Data Analytics, Cloud Computing, Solutions Architecture, Data Engineering, Proofs Of Concept, Reference Architectures

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