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Databricks
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Sr. Solutions Architect
ICT
Company shared salary
NA
Market rate
S$18,000–S$28,000/mo (S$216,000–S$336,000/yr)
Based on similar roles (title + domain + location).
About the Company
Databricks is a data and AI company that builds a unified platform to make data science and analytics accessible to everyone. Its culture emphasizes proactiveness, customer centricity, creativity, experimentation, and continuous improvement. The company aims to inspire customers to make informed decisions that push their business forward and serves more than 10,000 organizations worldwide, including many Fortune 500 companies.
About the Role
As a Solutions Architect you will use your technical expertise to demonstrate how Databricks' Data Intelligence Platform can solve customers' complex data challenges, working with a collaborative, customer focused team to design and adopt analytics solutions.
Responsibilities
- ● Develop customer engagement strategies in partnership with Account Executives in your designated territory.
- ● Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
- ● Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy.
- ● Act as a champion for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
- ● Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups.
- ● Continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, or people management.
Requirements
- ● Ability to engage in complex customer interactions and the sales lifecycle in a technical pre sales capacity.
- ● Ability to influence decision makers and C level executives by developing relationships and orchestrating teams to achieve long term customer success.
- ● Prior experience coding in a core programming language such as Python, Java, or Scala and willingness to learn a base level of Spark.
- ● Hands on expertise with complex proofs of concept and public cloud platforms.
- ● Ability to provide technical solutions for specialized customer needs and navigate a competitive landscape.
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