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Databricks
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Senior Solutions Engineer
ICT
Company shared salary
NA
Market rate
₹450,000–₹850,000/mo (₹5,400,000–₹10,200,000/yr)
Based on similar roles (title + domain + location).
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. Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Responsibilities
- ● Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- ● Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
- ● Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
- ● Become a Big Data Analytics advisor on aspects of architecture and design.
- ● Support your customers by authoring reference architectures, how-tos, and demo applications.
- ● Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.
Requirements
- ● Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- ● Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
- ● Code in a core programming language such as Python or SQL.
- ● Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
- ● Experience diving deeper into solution architecture and Data Engineering.
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