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Solutions Architect - Communications, Media, Entertainment & Gaming
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ICT
💰 Salary Not shared
📊 Market ₹15,000–₹25,000/mo (₹180,000–₹300,000/yr)
About the Company
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
Responsibilities
- ● Develop customer engagement strategies in partnership with Account Executive(s) 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 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
- ● Be 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.
- ● Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
Requirements
- ● 7+ years of presales/customer-facing technical experience.
- ● Know how to engage in complex customer interactions and 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 with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
- ● Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
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