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Databricks
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Solutions Architect (Pre-sales) - Retail/CPG
ICT
Company shared salary
NA
Market rate
₹1,000,000–₹1,800,000/mo (₹12,000,000–₹21,600,000/yr)
Based on similar roles (title + domain + location).
About the Company
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
- ● Guide the technical evaluation phase in a hands-on environment throughout the sales process.
- ● Be a technical advisor internally to the sales team.
- ● Work with the product team as an advocate of your customers in the Retail/CPG field.
- ● Help customers achieve tangible data-driven outcomes through the use of the Databricks Lakehouse Platform.
- ● Help data teams complete projects and integrate the platform into their enterprise Ecosystem.
- ● Find solutions to customers' biggest challenges in big data, analytics, data engineering and data science problems.
- ● Be a Big Data Analytics expert on aspects of architecture and design.
- ● Lead prospects through evaluating and adopting Databricks.
- ● Support customers by authoring reference architectures, how-tos, and demo applications.
- ● Integrate Databricks with 3rd-party applications to support customer architectures.
- ● Engage with the technical community by leading workshops, seminars and meet-ups.
- ● Form successful relationships with clients throughout your assigned territory to provide technical and business value, together with your Account Executive.
Requirements
- ● Pre-sales or post-sales experience working with external clients across a variety of industry markets.
- ● Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science is advantageous.
- ● Experience demonstrating technical concepts, including presenting and whiteboarding.
- ● Experience designing and implementing architectures within public clouds (AWS, Azure or GCP).
- ● Experience with Big Data technologies, including Apache Spark , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
- ● Fluent coding experience in Python or Scala implementing Apache Spark .
- ● Java and R coding experience is also desirable.
- ● Experience working with Enterprise Accounts.
- ● Written and verbal fluency in Japanese and English.
Benefits
- ● Comprehensive benefits and perks that meet the needs of all of our employees.
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